The Cacophony of High-Decibel Anchoring: A Critical Analysis of the Declining Credibility of Indian Television News Channels

Dr. Vimal Mohan

Senior Sports Editor, NDTV India; email: vimal236@gmail.com

DOI: https://doi.org/10.26643/ijr/2026/123

Abstract: Presented research offers a critical analysis of the growing predominance of politics-focused news in mainstream television news channels and its impact on news diversity. The role of the media in a democratic society is not limited to providing information, but they also provide direction to public opinion-building, social awareness and public discourse. In the present times, Indian television news channels are increasingly dominated by political debates, electoral coverage, partisan clashes and ideological discourses, resulting in a focus on education, health, agriculture, environment, science, women empowerment, etc. Public welfare subjects such as rural development and social justice are getting relatively little space. The main purpose of this study is to test whether mainstream news channels are giving excessive priority to politics at the expense of news diversity. The research uses Mixed Method Research Design, which includes content analysis, comparative studies, and both qualitative and quantitative analyses. Prime-time programmes of selected Indian and international news channels were analysed for the study. The theoretical basis of the research is based on agenda setting theory, framing theory, enrichment theory, political economy of media and public sector theory. The findings of the study showed that political news receives the most broadcast time, while developmental and public interest issues have limited presence. Also, high-volume anchoring, sensational presentation, TRP competition and social media influence have made news culture more confrontational and performative. The research concludes that politics-centric news culture is influencing news diversity, media credibility, and democratic discourse. Therefore, it is the need of the hour to encourage balanced, factual, multidimensional and public interest-oriented journalism.

Keywords: Television Journalism; News Variety; Political Communication; Prime-Time News; Media Credibility; Political Polarization; Agenda Setting; News Channels; Public Opinion; TRP Culture.

1. Introduction:

Television journalism is one of the most influential mediums in modern mass media, which has vastly transformed the process of collecting, presenting, and disseminating news. Television news in India has played an important role in influencing democratic discourse, public opinion formation and social awareness. Initially, the main objective of television journalism was to disseminate information, education and development messages, but over time it underwent major changes due to commercialization, political competition, TRP-based presentation and the influence of digital media.  The nature of news saw a sharp change, especially after the rise of 24×7 news channels, where immediacy, visual impact and political debates took on more importance than facts.

At present, Indian news channels are increasingly dominated by politics-focused news, aggressive anchoring, ideological polarization and high-decibel debates. This has led to questioning the impartiality of journalism, news diversity and the credibility of the media. The objective of this research is to critically study the evolution of Indian television journalism, the trend of high-sound anchoring and the crisis of media credibility.

1.1 Background of Television Journalism in India

Television in India began on 15 September 1959 in Delhi as an educational project in collaboration with UNESCO. In the early years, its main purpose was the broadcasting of educational and developmental programmes.  In 1965, the first regular news bulletin under All India Radio was started, which laid the foundation of Indian television journalism.  In 1976, Doordarshan was separated from All India Radio and established as an independent government department, after which news broadcasting expanded.

In 1982, colour television and a national broadcasting network were launched on the occasion of the Delhi Asian Games.  The development of the INSAT satellite system played a crucial role in bringing news to remote and rural areas of the country. During this period, news broadcasting was mainly under government control and focused on topics such as development, agriculture, education and national integration.

Economic liberalization and the entry of global media in the 1990s revolutionized Indian television journalism. CNN’s live broadcast during the 1991 Gulf War gave Indian viewers a first-hand experience of real-time international news coverage. This was followed by the rise of private news producers and channels.  Programmes such as The News Hour and The World This Week, produced by NDTV, set new standards of news presentation.  In 1995, Zee TV launched a private Hindi news bulletin and in 1998, Star News became one of India’s first 24-hour news channels.

Live coverage of the Kargil War in the 2000s brought unprecedented popularity to TV journalism. This was followed by the expansion of Aaj Tak, NDTV India, ABP News, Times Now and many other regional news channels. During this period, the trend of TRP competition, breaking news culture and sensational presentation increased. In the current digital age, television journalism has taken on a multi-platform form, where news channels broadcast news through television as well as YouTube, social media and mobile applications.

1.2 The Rise of High-Sound Anchoring

The rise of high-decibel anchoring in Indian television news coincided with 24×7 news channels and intense TRP competition. While the initial news presentation used to be restrained, factual and formal, the role of anchors in modern news channels is not limited to the news presenter alone. He has now become an active creator and interpreter of news discourse.

High-sound anchoring is characterized by aggressive language, intense tones, frequent interference, emotional appeal, and ideological confrontation. Anchors in prime-time debates often appear as key participants in the debate themselves, rather than playing the role of impartial mediators. This trend is particularly pronounced in political news, where nationalism, political accusations, and ideological conflicts are given prominence.

This type of anchoring makes the news more dramatic and engaging, but it can result in factual analysis, balanced dialogue, and democratic discourse. Numerous media studies have argued that while high-pitch anchoring succeeds in capturing the audience’ s attention, it can also undermine the credibility and objectivity of journalism.

1.3 The Concept of Media Credibility

Media credibility refers to the level at which viewers perceive a news medium as credible, unbiased, factual, and responsive. The basis of journalistic success is not just the dissemination of information, but also the trust of the public. If news media are considered unbiased and credible, they can play an effective role in a democratic society.

The key components of media credibility include factuality, impartiality, accuracy, transparency, accountability, and ethics. The credibility of news channels is affected when they give preference to political favoritism, sensational presentation, unconfirmed information, or ideological agendas.

Media credibility has become an important topic of discussion in the Indian context as there is a growing perception among the audience that many news channels are influenced by political and commercial interests. In this situation, both the democratic role of the media and public trust are affected.

1.4 Formulation of the problem

The trend of politics-focused news and high-pitch anchoring has grown exponentially in the current Indian television journalism. Most prime-time programs focus on political debates, electoral strategies, and ideological conflicts. As a result, important topics such as education, health, environment, agriculture, science, culture and social development are left behind in the news agenda.

The problem is whether this trend of news channels is limiting news diversity and whether high-pitch anchoring and political polarization are affecting viewer trust and media credibility. The present study offers a critical analysis of this question.

1.5 Research questions

  • Do Indian TV news channels give more priority to politics-focused news than other news categories?
  • What are the key features of high-sound anchoring?
  • Do prime-time debates affect news diversity?
  • What is the level of credibility of TV news channels in the eyes of viewers?
  • What is the impact of politics-focused journalism on public opinion?
  • Has social media competition affected the presentation style of news channels?

1.6 Objectives of the study

  • To study the development of Indian television journalism.
  • Analyzing the nature and characteristics of high-sound anchoring.
  • To test the preponderance of political news in news channels.
  • To study the impact of politics-focused journalism on news diversity.
  • Analyzing media credibility and audience perception.
  • To present suggestions for balanced and responsive journalism.

1.7 Hypothesis of the study

H₁: Political news is given more priority than other news categories in Indian TV news channels.

H₂: High-sound anchoring increases the popularity of news channels, but reduces their credibility.

H₃: Politics-focused prime-time debates limit news diversity.

H₄: Viewers’ trust in news channels is influenced by their perception of objectivity and factuality.

H₅: Social media competition has promoted more aggressive and sensational presentation in TV news channels.

1.8 Scope and Limitations of Study

The study is mainly limited to the prime-time news content and anchoring style of Indian mainstream news channels. The study will analyse the content, news preferences and presentation style of selected national news channels.

The areas of study will be limited to television journalism, media credibility, news diversity and political communication. Regional channels, digital-only news platforms, and entertainment channels will not be included in this study.

A major limitation of the study is that media credibility and audience perception can change according to time, political circumstances, and social contexts. Additionally, the analysis of news content will be limited to the selected period, so the generalization of findings should be done carefully.

2. Literature Review

Presented research titled “Are Mainstream TV News Channels Prioritizing Politics at the Cost of News Diversity?”  A study of the available literature in the context of “A Critical Analysis” indicates that there is a strong link between the television news media, democratic discourse, public trust and public opinion building.  In the context of media, democracy and public trust, Markov and Min (2020) studied the sources of public trust in the news media in young democratic systems, propounding that the credibility of the media affects citizens’ trust in democratic institutions and that fair and responsive journalism is essential for democratic stability. On the evolution of Indian television news channels, Singh (2015) analysed the trends of prime-time news programmes and found that news formats have undergone a constant change and political debates, studio discussions, and personality-centric presentations have begun to replace the traditional news style. In terms of anchoring style and news presentation, Ali and Ferrucci (2025) studied the diverse formats of news presentation, technological innovations, and the role of anchors, indicating that presentation style influences viewers’ perceptions of credibility and that professional and balanced presentation can increase the acceptability of news. On sensational presentation and TRP culture, Devi (2019) analyzed the evolving “views culture” in Indian news channels, arguing that news channels have started giving more importance to thought-driven and debate-centric content than information-based reporting, which is blurring the boundaries between news and entertainment. Regarding political polarization and news media, Garimella et al. (2021) found in a study of online news consumption that the ideological structure of news and the political preferences of users encourage a polarized media environment, resulting in people preferring news sources that match their views. In terms of audience attitudes and media credibility, Ryan (1975) studied the presentation style of television news and the influence of visual content and concluded that the presentation of news, visual elements and broadcast style significantly influence viewers’ perceptions of credibility. An overall analysis of the available literature shows that there have been substantial studies on various dimensions of media credibility, political polarization, prime-time news culture, anchoring style and TRP-based competition, but comprehensive and coordinated studies on the increasing predominance of politics in Indian mainstream television news channels and the consequent potential reduction in news diversity are relatively limited. This research gap establishes the need and relevance of the present study.

3. Theoretical outline

The conceptual foundation of any research study depends on its theoretical basis. Presented research titled “Are Mainstream TV News Channels Prioritizing Politics at the Cost of News Diversity?” A Critical Analysis” analyzes the growing predominance of politics-focused news in mainstream television news channels and its impact on news diversity. Five major communication and media theories—agenda setting theory, framing theory, promotion theory, political economy of media, and public sector theory—have been adopted as the theoretical basis for this study. These principles play an important role in understanding news selection, presentation, media influence, audience perception, and the process of democratic discourse.

3.1 Agenda setting theory

Agenda Setting Theory was propounded by Maxwell McCombs and Donald Shaw. This theory states that the media does not directly tell the public what to think, but rather determines what issues to think about. According to McCombs and Valenzuela (2007), the constant repetition of a public issue in the news media and the widespread presence of the media are the major sources of journalistic influence. When news channels give prominence to day-to-day politics, elections, parliament, government-opposition disputes and political struggles, then the preferences of the viewers also start to build around the same topics.

This theory is particularly important in the present study because Indian television news channels see a plethora of politics-focused news. As a result, subjects such as agriculture, education, health, science, environment and social development are left behind in the news agenda. The agenda setting theory thus makes it clear that the lack of news diversity is not just a problem of coverage, but it is also linked to public consciousness and public opinion building.

3.2 Framing Principle

Framing theory assists in understanding the process of presenting news by the media. This theory emphasizes that news is not only shaped by facts, but also by the way they are presented. According to Güran and Özarslan (2022), the expansion of new media and the development of digital platforms have further complicated the process of framing, where not only textual content but also visuals, images, and multimedia elements play a crucial role in news frame creation.

News channels can present a political event as nationalism, security, corruption, power struggle or ideological clash. Similarly, social and economic problems can also be presented from a political point of view. This process of framing influences the audience’s interpretation and response.

The current research will use framing theory to understand how news channels present political events and how this presentation affects news diversity and audience perception. The language, visual symbols, and the role of anchors, especially used in prime-time debates, will be analyzed through this theory.

3.3 Enrichment Theory

The Cultivation Theory was developed by George Gerbner and his colleagues. This theory focuses on the long-term effects of media. According to Shrum (2017), augmentation theory is a socio-cultural theory that explains how television shapes viewers’ perceptions, beliefs, values, and attitudes.

If viewers regularly watch politics-focused news, ideological conflicts, nationalist debates, and sensational political coverage, they begin to see society in the same way. Prolonged exposure to such news affects the audience’s perception of social realities and may lead them to believe that politics is the most important and prominent sector of society.

The present study will use augmentation theory to understand how the continuous broadcast of politically-focused news affects viewers’ political attitudes, social awareness, news fatigue, and ideological polarization. This theory is particularly useful in understanding the long-term nature of media effects.

3.4 The Political Economy of The Media

The political economy of media studies the economic, political, and structural strengths of media institutions.  According to McChesney (2008), the political economy of the media is also called the political economy of communication, which analyzes how media institutions are influenced by economic and political structures.

Modern news channels are dependent on advertising revenue, TRP, corporate ownership, and market competition. For this reason, they prioritize content that can attract more viewers. Political controversies, nationalist discourse, election coverage and aggressive debates attract more viewership and are also beneficial for advertisers.

This theory is useful in the present study to explain why news channels give more importance to political news than news variety. The economic structure of the media and market-based competition directly influence the process of news selection. Politics-centric journalism cannot therefore be considered merely the result of editorial decisions, but it is also linked to the economic and institutional structure of the media industry.

3.5 Public Sector Theory

Public Sphere Theory is an important theoretical approach to understanding the role of the media in a democratic society. Ari Adut (2012) has defined the public sphere as a public dialogue sphere constructed through visibility, symbols, and social communication. This principle emphasises that the media provides a platform for citizens to discuss public issues.

The responsibility of the news media in a democratic society is not just to provide information but also to bring forth different perspectives and encourage public debate. When news channels are mainly limited to political confrontations, sensational debates and ideological struggles, the nature of the public sphere is narrowed. This can lead to social, cultural, economic and developmental issues being left out of public discourse.

The present study will use public sector theory to analyse the extent to which mainstream TV news channels encourage democratic discourse and how the plethora of politics-focused news affects the diversity of public discourse.

All of the above-mentioned theories collectively provide a broad conceptual basis to this study. Agenda setting theory explains news preferences, framing theory explains presentation style, enrichment theory explains the long-term effects of media, political economy of media elucidates economic and political reasons for news selection and public sector theory outlines the role of media in democratic discourse. Using these principles in conjunction, the study seeks to understand how the increasing predominance of politics in mainstream TV news channels is affecting news diversity, media credibility and democratic discourse.

4. Research Methodology

Presented research titled “Are Mainstream TV News Channels Prioritizing Politics at the Cost of News Diversity?” A Critical Analysis” is aimed at critically studying the growing predominance of politics-focused news in mainstream television news channels and its impact on news diversity. The nature of this study is descriptive, analytical, and critical, as it aims not only to describe news content but also to analyze news selection, presentation style, and their impact on news diversity. The study uses a mixed research design, which incorporates both qualitative and quantitative approaches. Ten major Indian and international news channels have been selected for the research, including Aaj Tak, Zee News, NDTV 24×7, India TV and Republic Bharat as Indian channels and CNN, BBC News, Fox News, Al Jazeera English and France 24 as international channels. These channels have been selected on the basis of their popularity, viewership reach, political influence and active role in prime-time news broadcasting. The study uses a purposive sampling technique, as the focus of the research is to analyze specific types of news content—especially political-focused prime-time news. As a sample, the prime-time programmes of each selected channel from 7 PM to 10 PM have been selected as the highest viewership and political debates are seen during this time period. News bulletins and special discussions over a period of three months have been analysed for the study. Both primary and secondary sources have been used for data collection.

The primary data includes live observation, recording and transcription of news bulletins, prime-time discussions, special programmes and live debates of selected channels, while secondary sources include books, research papers, journals, TRP reports, Media industry reports and content sourced from official websites of news channels have been incorporated. Content analysis has been adopted as the major research method of study. Under this, news will be related to political news, election news, economic news, education, health, environment, agriculture, science and technology, crime, entertainment, sports, women and gender issues. It is categorized into categories such as social justice and international news. A systematic analysis of the time received by each category, its frequency, presentation style, news frame, nature of debate and role of anchors has been done. Percentages, frequency distributions and comparative data have been used for quantitative analysis, while qualitative analysis has critically studied the language of news, ideological leaning, framing, agenda setting and presentation style. Special attention has been paid to research ethics during the study. All sources have been presented with proper context and citations and efforts have been made to avoid any kind of plagiarism. The news content has been used for academic and research purposes only and objectivity, objectivity and transparency have been maintained in the analysis. Thus, through a mixed research methodology, content analysis, comparative approach and coordinated use of ethical standards, the study seeks to understand whether mainstream TV news channels are prioritizing politics at the expense of news diversity and what are the implications of this on democratic discourse and public interest journalism.

5. High-Sound Anchoring and Prime-Time News Culture

The prime-time news culture in Indian television journalism has undergone a massive transformation in the last two decades.  Competition of 24×7 news channels, TRP-based business pressures, political polarization and the challenge of digital media have changed the nature of news presentation. The most prominent consequence of this change has been in the form of high-decibel anchoring. News anchors are no longer merely reporters, but they have become debate moderators, opinion makers, and sometimes active participants in political discourse.  According to Naveen Mishra (2018), Indian prime-time news debates often take the form of noisy confrontations rather than democratic dialogue. In this type of journalism, drama, conflict and emotional presentation are given more importance than the factuality of the news.

5.1 Features of High-Sound Anchoring

High-sound anchoring is a typical trend of modern television journalism. This includes loud voices, loud language, offensive questions, frequent interference, challenging opposing views and provoking the emotions of the audience during the news presentation. This type of anchoring is particularly visible in political debates and nationalist discourses.

Alan Schroeder (2008) has referred to the stylistic presentation of television anchors, pointing out that TV news presentation has become more performative and personality-centric over time. This trend is more pronounced in the Indian context, where the anchors themselves often become the focus of the debate.

Table 5.1: Major Characteristics of High-Decibel Anchoring

CharacteristicsDescriptionImpact on Journalism
Loud PresentationHigh vocal intensityCreates drama and urgency
Frequent InterruptionsCutting off panelistsLimits meaningful discussion
Emotional LanguageUse of provocative expressionsInfluences audience emotions
Personalization of IssuesFocus on individuals rather than issuesReduces analytical depth
Ideological PositioningVisible political inclinationWeakens neutrality
Conflict-Oriented StyleEmphasis on confrontationIncreases polarization

Graph 5.1: Characteristics of High-Decibel Anchoring

5.2 Aggressive debate format

The format of prime-time debates in Indian news channels has become increasingly aggressive. Debates involve multiple political spokespeople, experts and social representatives together, creating more confrontation than dialogue. Naveen Mishra (2018) has termed Indian television debates as “discursive violence”, where debates take the form of conflicting demonstrations rather than democratic discourse.

The anchor’s role in these debates is extremely influential. Many times, the purpose of the debate is to maintain the attention of the audience and increase the TRP rather than analysing an issue. As a result, accusations and ideological conflicts take precedence over factual discussions.

Table 5.2: Structure of Prime-Time Debate Formats

ComponentTraditional JournalismContemporary Prime-Time Debates
Moderator RoleNeutral FacilitatorActive Participant
Discussion StyleAnalyticalConfrontational
Number of SpeakersLimitedMultiple Panelists
FocusIssue-OrientedPersonality-Oriented
Audience ObjectiveInformationEngagement and Excitement
OutcomeUnderstandingConflict Visibility

Graph 5.2: Nature of Prime-Time Discussions

5.3 Emotional Nationalism and Media Exposure

Nationalism and emotional appeal have become key elements of news presentation in contemporary news channels.  According to Zala Volcic (2009), commercial nationalism uses nationalist symbols, cultural identities, and emotional narratives to evoke the emotions of the audience. Border disputes, terrorism, national security and international conflicts are often presented in an emotional nationalist frame in Indian TV news.

This type of presentation generates national pride and emotional connect in the audience, but at times it limits rational analysis and factual discussion. News gradually begins to morph into a political spectacle through public information.

Table 5.3: Elements of Emotional Nationalism in Television News

ElementManifestation in News CoverageEffect on Audience
Patriotic SymbolsFlags, military visualsEmotional attachment
National Security NarrativesBorder and defense issuesIncreased concern
Heroic StorytellingFocus on leaders and soldiersEmotional identification
Binary FramingNation vs EnemyPolarization
Emotional SlogansPatriotic rhetoricReduced critical engagement

Graph 5.3: Dominant Nationalist Frames

5.4 Role of Anchors in Discourse Formation

Modern news anchors don’t just present news but they play an active role in the interpretation, framing, and prioritization of news. Willem Wagenaar (1995) introduced the concept of “anchored narratives”, explaining that in order to make a narrative acceptable, it is linked to contexts that are already socially accepted. News anchors also often use the same process.

In news channels, anchors can influence the viewer’s interpretation by presenting an issue in the context of nationalism, corruption, development, security or political conflict. Thus, anchors become narrative builders, not just news anchors.

able 5.4: Role of Anchors in Narrative Construction

Anchor FunctionNarrative Impact
Issue SelectionDetermines news priority
FramingShapes interpretation
Questioning StyleInfluences discussion direction
Emotional AppealsCreates audience engagement
Agenda ReinforcementRepetition of dominant themes
Symbolic LanguageStrengthens ideological narratives


Graph 5.4: Influence of Anchors on News Narratives

5.5 Visual Sensationalism and Breaking News Culture

Visual presentation has become extremely important in contemporary television journalism. News channels use dazzling graphics, red-colored breaking news strips, dramatic sound effects, animated visuals, and intense visual cues to capture the audience’s attention.  According to Amanda Frisken (2020), visual sensationalism establishes an important connection between journalism and visual culture, where images and visual presentation create the impact of the news itself.

The breaking news culture has increased the speed of news, but it has affected the process of fact-checking and in-depth analysis at times. Viewers are made to experience a constant urgency, making the news more exciting but less analytical.

Table 5.5: Components of Visual Sensationalism

ComponentPurposeImpact
Flash GraphicsAttract attentionCreates urgency
Breaking News BannersHighlight immediacyEnhances excitement
Dramatic MusicEmotional engagementHeightens tension
Animated VisualsVisual stimulationIncreases retention
Repeated FootageReinforce narrativeShapes perception


Graph 5.5: Elements of Breaking News Culture

The study makes it clear that high-volume anchoring and prime-time news culture have shifted Indian television journalism from an information-centric model to a performative model. Aggressive debates, passionate nationalism, anchor-centric discourse, and visual sensationalism are effective in capturing viewers’ attention, but they also affect news diversity, fairness, and democratic dialogue. Politics-centric prime-time culture thus limits the diversity of news and brings news into the realm of conflict, dramatization, and ideological polarization.

6. Declining Credibility of Indian Television News Channels

Indian television news channels have been an important medium of information, opinion building and public discourse in a democratic society. In the early days, news channels were known for their objectivity, factivity and public accountability, but the economic, political and technological changes in the media landscape in the last two decades have affected their credibility. Political partisanship, ideological polarization, TRP-based competition, decline in factual journalism, growing public distrust and the influence of social media have posed serious challenges to Indian television journalism.  According to Sujeet Kumar et al. (2024), the favoritism and ideological leanings of anchors in prime-time news debates are affecting the credibility of news channels among viewers. An analysis of these key factors is presented in the present chapter.

6.1 Political Bias and Ideological Polarization

Political bias refers to the tendency to prioritize a particular political point of view in the process of news selection, presentation, and interpretation. Indian TV news channels are often accused of working for or against political parties or ideologies. This raises questions about the impartiality of the media among the audience.

According to Lachat (2008), ideological polarization influences citizens’ political perceptions and media consumption. When news channels promote a particular ideological viewpoint, viewers also choose channels that match their political beliefs.

Graph 6.1: Perceived Sources of Political Bias in Television News

The above data shows that political affiliation and editorial policy in the eyes of viewers are the major reasons for bias in news channels.

6.2 Commercialization and TRP Competition

Commercialization in the news industry has grown exponentially with economic liberalization and the expansion of private news channels. News is now seen not just as a public service but also as a profit-based product. Devi (2019) is of the opinion that the survival of Indian news channels largely depends on TRPs, which has led to intense competition among channels.

This competition has resulted in increased sensational presentation, breaking news culture, aggressive debates, and emotional news coverage. Sometimes, attracting the attention of the audience becomes more important than the quality of news and public interest.

Graph 6.2: Impact of TRP Competition on News Content

This makes it clear that prime-time news is highly dominated by political debates while developmental topics get limited space.

6.3 Decline in Fact-Based Journalism

Fact-based journalism is the basis of reliable information in a democratic society. However, in the digital age, the pressure of rapid news dissemination and competition has challenged traditional standards of journalism. According to Florian Stalph (2018), the ideals of journalism in the post-truth era are facing new challenges.

Today, many news channels give more importance to opinion-based discussions, studio debates and political analysis than factual reporting. This makes it harder for the audience to distinguish between fact and opinion.

Table 6.3: Comparative Distribution of News Content

This analysis makes it clear that opinion-based content is becoming more prominent than factual reporting.

6.4 Public Distrust and News Fatigue

The most direct consequence of the decline in media credibility has been public distrust and news fatigue.  According to Andrea Wenzel (2019), negativity, ambiguity, and the difficulties of verification in the news generate fatigue and frustration in viewers.

Constant political conflicts, negative debates and sensational news leave the audience mentally exhausted. As a result, many people start distancing themselves from the news.

Graph 6.4: Causes of Public Distrust and News Fatigue

This makes it clear that politics-focused news and negative presentation are becoming the major reason for viewers’ distance from the news.

6.5 The Impact of Social Media on Television Journalism

Social media has changed the entire process of news production and distribution.  Platforms like Facebook, X (Twitter), Instagram, YouTube, and WhatsApp have now become major sources of news.  According to Nic Newman (2009), the rise of social media is both a significant challenge and opportunity for mainstream journalism.

News channels are now starting to set news agendas based on social media trends. This has increased the speed of news, but at times verifiability and factual nature suffers. At the same time, there has also been a growing trend of including viral content in TV news on social media.

Graph  6.5 Influence of Social Media on Television Journalism

The above analysis shows that social media is playing a significant role in news agenda setting and audience engagement. Television journalism has become more immediate, visual, and competitive as a result.

The study reveals that there are several interrelated factors at play behind the decline in the credibility of Indian television news channels. Political partisanship, ideological polarization, TRP-based business competition, lack of fact-based journalism, rising news fatigue and the influence of social media are all contributing to the public image of news channels. As a result, news diversity is becoming limited and political and performance journalism is becoming more influential in place of public interest journalism.

7. Audience Attitudes and Media Influence

Television news is not just a medium of information, but it is a powerful institution influencing public opinion, political attitudes, social behaviour and democratic participation.  The increasing presence of politics-focused news, high-volume anchoring, prime-time debates, and ideological discourse in Indian television news channels has significantly influenced the process of viewers consuming news. To understand media influences, it is necessary to study audience perception, beliefs, psychological reactions and news consumption behaviour. According to Madianou (2009), the audience does not passively consume the news, but rather interpret it based on their social and cultural contexts. The present chapter presents an analysis of audience confidence in news anchors, impact of news on opinion making, psychological consequences of aggressive debates, propensity to avoid news and perception of young people towards news.

7.1 Audience Trust in News Anchors

News anchors are the most visible face of television journalism. Viewers often judge the credibility of a channel based on the objectivity, presentation style, and factuality of its anchors. The role of anchors has become more important in the digital age as viewers value not only the news content but also the personality of the news presenter.

According to Breviglieri, Guerreiro and Loureiro (2025), audience trust in news is influenced by the nature of the presentation, perception of credibility, and technological means. In the Indian context, viewer confidence is particularly high in anchors who are perceived to be fair, balanced, and factual.

Graph 7.1: Factors Influencing Audience Trust in News Anchors

The above statistics show that the objectivity and factuality of the anchor are the most important elements for the viewer.

7.2 Impact on Public Opinion

The news media profoundly influences the process of public opinion formation in a democratic society.  According to McCombs (2011) the news media produces a series of consequences affecting civic life, which ultimately shape public opinion. When news channels give prominence to a particular issue again and again, that issue becomes the center of public discussion.

The continued presence of political news can influence citizens’ political preferences, voting behaviour, attitudes towards government policies, and social discourse. The study also revealed that topics presented in prime-time news often influence the next day’s public discussions and social media trends.

Graph 7.2: Influence of Television News on Public Opinion

This makes it clear that the influence of television news on political views and voting behavior is the greatest.

7.3 The Psychological Impact of Offensive News Debates

Aggressive debates have become a common feature in Indian prime-time news. Loud noises, frequent interference, political accusations, and confrontational presentations can affect the psychological state of the audience.

Gonçalves (2018) found that the aggressive communication style associated with news influences audience reactions and behavior. Such debates often lead to tension, anxiety, anger, and ideological polarization. Viewers often see these programs as a mix of entertainment and information, but in the long run, their effects can lead to mental exhaustion.

Graph 7.3: Psychological Effects of Aggressive News Debates

It is clear from the above analysis that the major impact of aggressive news debates comes out in the form of tension and ideological polarization.

7.4 News Avoidance and Media Fatigue

The constant availability of news in the digital age has created a situation of information overload.  According to Villi et al. (2022), news avoidance is a growing trend in many national contexts, mainly due to the overabundance of news, negativity, and mental fatigue.

This trend is also seen in the Indian audience. Constant political news, repetition of negative events and breaking news culture can lead viewers to distance themselves from the news.

Graph 7.4: Causes of News Avoidance

This shows that politics-focused news and information overload are the leading causes of news avoidance.

7.5 Perceptions of Young People Towards Television Journalism

The youth are the most active group of modern media consumption. They receive news from traditional television news as well as social media, online news portals, and video platforms. According to Husnain, Saad, and Amjad (2025), young audiences evaluate the credibility of news based on a comparison of both television and social media.

The study found that younger viewers still find TV news to be relatively credible, but they tend to be more critical of political bias and sensationalism. The youth group values fact-checking, comparison of diverse sources, and digital engagement.

Graph 7.5: Youth Perception towards Television Journalism

This makes it clear that young viewers do not completely reject news channels, but take a cautious and critical approach to their credibility.

The study makes it clear that Indian television news channels have a cascading effect on viewers. The credibility of news anchors, the predominance of political news, the style of aggressive debates, and social media competition shape viewership perceptions. While news channels play a crucial role in public opinion formation, excessive political coverage and negative presentation also foster news fatigue, distrust, and ideological polarization. Younger audiences in particular appear to adopt more critical and multi-media news consumption behaviors, providing important signals for future journalism.

8. Conclusion and Analysis

The current study is “Are Mainstream TV News Channels Prioritizing Politics at the Cost of News Diversity? Under “A Critical Analysis”, the news content, anchoring style, prime-time debates and news diversity of selected Indian and international television news channels were analysed. Based on content analysis, comparative studies and statistical interpretations, it was found that most of the mainstream news channels are dominated by politics-focused news.  Political topics are given a lot of importance in news selection, presentation style and structure of debates, while topics such as education, health, agriculture, environment, science and social development get relatively less space. The study also shows that aggressive anchoring, TRP competition, and social media influence have made news culture more performative and conflict-focused.

8.1 Comparative Analysis of Anchoring Styles

The style of news anchors affects the credibility of the news, audience engagement, and the quality of public discourse. The anchoring style of the selected channels was divided into four major categories: fact-oriented, analytical, aggressive, and emotional.

Table 8.1: Comparative Analysis of Anchoring Styles

Anchoring StyleFrequency (%)Characteristics
Aggressive40Loud debates, interruptions, confrontation
Emotional25Nationalist and emotional appeals
Analytical20Issue-based discussions
Fact-Oriented15Data-driven reporting

Chart 8.1 Distribution of Anchoring Styles

The analysis revealed that the combined proportion of aggressive and emotional anchoring is 65 per cent, while fact-based journalism is limited to only 15 per cent. This trend transforms news from a deliberative platform to a demonstrative platform.

8.2 Trends in Prime-Time Broadcasting

Prime-time (7 PM–10 PM) news broadcasts attract the highest number of viewers. The study found that political debates, electoral discussions, and political controversies are highly prioritized during this period.

Graph 8.2: Distribution of Prime-Time News Content

These statistics make it clear that politics-related topics make up about 60 percent of prime-time news, limiting the visibility of other important topics.

8.3 Statistical Interpretation of Statistics

The collected data were analysed through percentage, mean, frequency distribution and comparative ratio. The study analyzed a total of 600 prime-time news segments.

Graph 8.3: Statistical Distribution of News Categories

Graph 8.4: Mean Coverage Time per Category

8.4 Critical Evaluation of Media Behaviors

The behaviour and presentation style of news channels were also critically evaluated during the study. The analysis revealed that news channels are operating under three major pressures — political influence, business competition and digital media challenge.

Chart 8.5: Critical Evaluation of Media Practices

Graph 8.6: Impact of Media Practices on News Diversity

The above analysis indicates that politics and TRP-based presentation have become the major driving elements in the current structure of news channels. As a result, news diversity suffers and developmental, social and public interest topics receive relatively little coverage.

The findings of the study clearly show that the selected news channels are highly dominated by politics-focused news. The majority of prime-time news is based on political debates, electoral strategies, and ideological conflicts. Aggressive anchoring, emotional nationalism and breaking news culture are successful in capturing the audience’s attention, but they limit news diversity. Statistical analysis shows that political news receives almost half of the total coverage, while topics such as agriculture, education, health, and the environment combined rank even lower. This trend poses a challenge to the democratic role of the media, public interest journalism, and the plurality of news.

9. Conclusions and Suggestions

Presented research analysis of news preferences, prime-time broadcasts, anchoring style, news diversity, audience views and media impact of Indian mainstream television news channels was carried out. The study clearly revealed that the dominance of political news in Indian television news channels has increased tremendously and a large part of the news agenda is focused on politics, elections, political controversies, party rivalries and ideological conflicts. The content analysis revealed that more than half of the time in prime-time broadcasting is devoted to political debates and political events, while public interest topics such as agriculture, education, health, environment, science, women empowerment, rural development and social welfare receive relatively limited coverage. The study also found that high-decibel anchoring, aggressive debate formats, emotional nationalism and breaking news culture have become key features of news channels. While these strategies prove to be effective in capturing viewership and increasing TRPs, they affect the objectivity, balance, and analytical depth of the news. The data also revealed that political bias, ideological polarization and commercial competition have affected the credibility of news channels. A large section of the audience felt that opinion-based debates, sensationalism and political discourse are being given more importance in news channels than unbiased and fact-based journalism. As a result, trends such as news fatigue, distrust of the media, and news avoidance are on the rise. Younger audiences in particular have developed a critical attitude towards news and are also using social media and digital sources to confirm the news.

The study also revealed that social media has profoundly influenced the functioning of television journalism. News channels are now setting news agendas influenced by social media trends, viral content and quick response culture, which has increased the speed of news but at times affects the quality of fact-checking and in-depth analysis. The central finding of this research is that mainstream Indian television news channels are giving excessive priority to politics at the expense of news diversity. Political discourse, confrontation and performance journalism are becoming more prominent than the plurality and balance of news. The role of the media in a democratic society is not just to broadcast political events, but also to provide representation to diverse sections, issues and perspectives of society. Therefore, if news channels do not re-prioritise news diversity, factuality, public interest journalism and social responsibility, both their credibility and democratic contribution may suffer. It is therefore imperative that news organisations strike a balance between political news and developmental topics, encourage fact-based journalism, limit the culture of aggressive debate and provide greater representation to issues such as education, health, agriculture, environment and social development. This will not only increase news diversity but also strengthen public confidence in media institutions and enable journalism to discharge its democratic and social responsibilities more effectively.

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AI data center building: What Engineers Need to Know

AI computing facilities are being planned around dense accelerator clusters and demanding power delivery and heat-removal requirements. AI data center building therefore requires early coordination between IT architecture, electrical infrastructure, cooling, site layout, and commissioning teams. Equipment selection is only one decision in a wider infrastructure project. Good procurement balances present requirements with realistic future demand, without paying for capacity that has no defined use. The central design task is to connect the selected equipment with a clear site requirement.AI data center building: Equipment and system layout for data center power and critical infrastructureSystem context for planning and operating 数据中心能源及关键供电 solutions.

Design the full power path

The power path extends from the utility connection through transformers, switchgear, UPS systems, distribution, and rack-level equipment. Each stage has a capacity, efficiency, protection, and maintenance requirement. A single-line diagram should show normal and alternate paths, common points of failure, and the effect of taking any major component out of service.

Start with the IT load profile

AI computing workloads can create dense and rapidly changing electrical demand. Facility planning should therefore use realistic rack-level power assumptions, deployment phases, and workload growth scenarios rather than relying only on an average room load. The electrical and cooling design needs to reflect both steady-state demand and the transitions that occur as computing clusters start, stop, or scale. For a closer look at the solution scope, review AI data center building and consider how its documented functions fit the site layout, electrical interfaces, and operating plan.

Allow the infrastructure to follow hardware evolution

Accelerator generations and server configurations can change faster than building infrastructure. The facility plan should identify which elements can be expanded or reconfigured and which would require major construction. Reserved electrical capacity, cooling interfaces, floor loading, and cable pathways should be based on a documented growth scenario.

Plan for construction and commissioning as one process

A fast build schedule can create pressure to hand over electrical and cooling systems before all IT equipment is installed. The acceptance plan should define factory tests, site tests, temporary load-bank tests, and later integrated tests with actual servers. Responsibilities for each stage should be agreed between the facility contractor, equipment suppliers, and operator. Performance should always be assessed against the actual installation conditions and the complete system boundary.

Protect operational continuity during upgrades

AIDC infrastructure will need maintenance while computing services are in use. Change windows, bypass arrangements, isolation procedures, spare parts, and rollback plans should be agreed before work begins. The operator should know which services are affected by each maintenance action and what level of redundancy remains during the task. A project specification for AI data center building should identify the applicable configuration, installation limits, commissioning checks, and service responsibilities.

Define the operating boundary

A useful specification states what the equipment is expected to do, under which conditions, and where the supplier’s responsibility ends. Capacity, environmental limits, interfaces, protection behavior, and service assumptions should be written in measurable terms. This makes proposals easier to compare and gives commissioning teams a practical basis for acceptance.

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What is the CAMELS index and which banks rank better in it? + Infographic

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Regarding the health of banks, the CAMELS index is one of the most important global criteria for assessing the performance, risk management, and financial strength of banks. In the latest evaluation of this index, only five listed banks achieved the top position.

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Evaluating bank stability and risk management within emerging financial markets requires analytical methodologies that move beyond static balance-sheet figures to examine long-term solvency, liquidity governance, and capital endurance. Internationally, the CAMELS supervisory framework serves as one of the most reliable benchmarks for evaluating banking performance, risk containment, and capital strength. A comprehensive study assessing 16 listed commercial banks and credit institutions indicates that despite sector-wide macro pressures, a select group of commercial lenders continues to maintain superior financial discipline:

1.    Deconstructing the Six Core Dimensions of the CAMELS Methodology:

The CAMELS rating system evaluates financial institutions across six interconnected pillars to generate an objective picture of institutional stability:

·    Capital Adequacy: Measures the capacity of a bank to absorb credit defaults and unexpected losses, serving as the primary solvency buffer protecting depositors and maintaining operational equilibrium.

·    Asset Quality: Evaluates credit risk within the loan portfolio, the ratio of non-performing assets, and the adequacy of loan-loss provisions allocated to offset impaired exposures.

·    Management Quality: Appraises the efficiency of executive oversight, administrative cost discipline, governance transparency, and strategic resource allocation across operational units.

·    Earnings Performance: Assesses the sustainability and consistency of operating profit, net interest margins (NIM), and profitability ratios including Return on Equity (ROE) and Return on Assets (ROA).

·    Liquidity: Measures the institution’s capability to honor short-term financial obligations and unexpected depositor withdrawals without incurring excessive borrowing costs or asset liquidation penalties.

·    Sensitivity to Market Risk: Analyzes the degree to which asset valuations, liability obligations, and net cash flows remain exposed to macroeconomic volatility, benchmark interest rate adjustments, and currency fluctuations.

1.    Performance Dispersion Across 16 Listed Banking Entities:

When applying these standardized international criteria to the 16 publicly traded banks and credit institutions operating on the domestic capital market, significant performance dispersion emerges. Stringent supervisory thresholds resulted in only five commercial banks qualifying for top-tier rankings under the CAMELS evaluation. Among these leading institutions, Bank Mellat, Bank Sina, and Tourism Bank were identified as standout performers, reflecting disciplined asset-liability matching, effective operational containment, and sustainable capital preservation.

1.    Detailed Analysis of Tourism Bank’s Core Rankings:

Tourism Bank’s inclusion among the top five institutions is supported by significant outperformance across two foundational metrics:

·    Second Rank in Return on Equity (ROE): Demonstrating exceptional capital productivity, the bank converted shareholder funds into resilient operating yields, indicating disciplined cost management and expanding intermediary loan margins. High ROE reflects both commercial viability and sustained value creation for institutional and retail investors.

·    Fourth Rank in Tier 1 Capital Adequacy: This placement highlights strong core capitalization consisting of paid-in capital, statutory reserves, and retained earnings measured against risk-weighted assets. Maintaining superior Tier 1 capital provides the bank with structural insulation against credit cycles while preserving capacity for balance-sheet growth.

1.    Strategic Takeaway and Systemic Impact:

The adoption of multi-variable metrics such as the CAMELS framework provides financial markets, depositors, and regulatory bodies with an objective, transparent lens to differentiate fundamental solvency from short-term nominal revenue gains. For lenders such as Tourism Bank, maintaining leadership in core earnings yield and capital adequacy reinforces investor confidence, stabilizes credit intermediation, and underpins sustainable banking operations over extended business cycles.

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Modular Data Center: Getting the Design Brief Right

A regional operator wants to open one room now and add capacity only after signed customer contracts. The quickest way to waste infrastructure money is to design against a confident forecast that has never been tested against site constraints.

Begin With the Capacity Constraint

A modular data center approach is only truly scalable when later additions can be commissioned without needless interruption. The initial planning workshop should produce a written load and growth envelope, not a draft drawing full of equipment blocks. Define what is already committed, what is merely possible, and who can approve any change in demand. This is especially relevant when the central design question is balancing fast deployment with adaptable interfaces and accountable site integration. Specialists should define what has to be proven and what may remain an option. In this setting, specify the IT capacity of each block, its utility criteria and the sequence for adding a second or third block.

Draw the Expansion Boundary

A phased programme works when the earliest installation preserves the routes and interfaces needed for later capacity. On this kind of deployment, packaged UPS, distribution, cooling modules, mechanical skids and standardised monitoring points must be coordinated rather than bought as unrelated packages. The boundary deserves particular attention: factory-completed assemblies meeting site-level civil works, utility feeds and protection settings.

For context during technical comparisons, published material on modular data center can help identify relevant equipment categories; the site specification still needs its own calculations and independent review.

Make Interfaces Work on Day One

Interface drawings should name the operating organisation of every connection and every control signal. Site working groups often discover a coordination gap at factory-completed assemblies meeting site-level civil works, utility feeds and protection settings. Put this interface in the register, assign one accountable owner and confirm the intended behaviour with an end-to-end test.

Protect Operations During the Next Phase

A planned addition is still work beside production equipment. The most damaging interruption may happen during routine work, not a dramatic fault. A supposedly plug-and-play addition needing unplanned shutdowns or incompatible controls should be tested against the proposed isolation and rollback sequence.

Budget for the Whole Deployment

Compare spending in stages: the enabling works required immediately, the modules that can follow signed demand, and the operating financial outlays while the first phase is only partly used. A phase-by-phase estimate should also show commissioning time, available capacity per module, part-load efficiency and repeatability of acceptance technical exercises. These observations connect design capacity to what actually happens after occupation and help prevent blind investment in unused infrastructure.

Before placing an order, use the modular data center reference alongside the site brief to ask precise questions about installation, testing and long-term service ownership.

What to Require Before Approval

Approval should depend on explicit acceptance tests and named ownership for unresolved items. When bids arrive, request documentation covering module drawings, transport constraints, site acceptance tests, spare-part availability and change-control rules. Ask technical partners to identify unresolved interfaces and the forecast inputs that would force a change order after purchase.

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Best Trading Strategy for Synthetic Indices: Risk Rules and Entries and Exits That Actually Work

Have you ever lost weeks of effort in one quick drop? Most traders have. One missed stop loss, and it is gone. With synthetic indices, prices keep moving all day, so this happens a lot more than people like to admit.

You do not need a secret indicator. You need a plan you can repeat. Here is the best strategy for synthetic indices, in plain steps you can actually use.

Know Your Index Before You Trade It

What is the best trading strategy for synthetic indices? Honestly, it starts with knowing what you are trading. Note that these markets run on a random number generator built to copy how real prices move.

You will find volatility, boom and crash, and step indices, and each one moves at its own pace. You need to spend time watching your chosen index before risking money. Traders who learn its rhythm beat the ones who just guess.

Set Your Risk Rules First

What really is the best trading strategy for synthetic indices? Honestly, it begins with keeping your money safe. Ensure that you put only 1% to 2% of your account on a trade. Place a stop loss before you click buy or sell.

Pick a daily loss limit and walk away when you hit it. Don’t add to a losing trade hoping it bounces back. It is wise to note that the markets here move fast, and a few bad trades will automatically erase weeks of work.

Spotting Good Entries Using Trends and Structure

What is the best trading strategy for synthetic indices? Slow down first. Check the 15-minute chart on Syntxwiki to see where price is heading and then drop to the 1-minute or 5-minute chart to pick your entry. Mark your support and resistance, follow the moving average, and wait for a clear rejection candle.

Do you want the best trading strategy for synthetic indices? Patience wins. Trust us; skipping a trade costs nothing. A bad entry costs real money.

Plan Your Exits First

Most traders spend hours hunting for an entry and then give the exit about five seconds. If you are looking for the best trading strategy for synthetic indices, you need to start by setting a profit target at least twice your risk. Then, place your take profit at the next big level that gives you at least a 1:2 ratio.

Once price moves in your favor, move your stop loss to breakeven. This ensures that your capital stays safe and your head stays calm.

Discipline Matters More Than Any Plan

The reality is that no matter how good your trading strategy for synthetic indices is, it will not help if you trade based on impulses. Keep a record of every trade, noting why you decided to enter, what occurred, and how you felt at the time.

Review this record after a few weeks, and you will likely notice patterns of mistakes that you keep making. Why guess when your notes can show you? Test the best strategy for synthetic indices on a demo account for a few weeks. Does it hold up when the market gets rough? If yes, go live with a little money.

Conclusion

To successfully begin your trading, you need to start small. You also need to make smart decisions that will help you avoid risks or losses along the way. Are you ready to begin? Take the first step now and follow our guide above.

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How to Teach Map Skills to Kindergarten, 1st and 2nd Graders

Ask a group of first graders where they live, and you’ll get answers like “in a blue house,” “next to the park” or “America.” All of them are correct. None of them are on a map yet.

That’s where early geography starts. Young children already think about space and place every day. They know the way to the cafeteria, which side of the room their cubby is on and how far it is to Grandma’s. Map skills give that natural awareness a structure, and the earlier kids get it, the easier geography, science and even math become later.

Why Map Skills Matter in the Early Grades

Reading a map is more than a social studies objective. It combines several skills young learners need:

  • Spatial thinking: understanding where things are in relation to each other
  • Symbol reading: knowing that a small picture can stand for something real
  • Vocabulary: words like north, border, continent, ocean and key
  • Problem-solving: using information to find a route or answer a question
  • Real-world independence: finding their way around a school, a park or a city

Start Small and Build Outward

The biggest mistake in teaching early geography is starting too big. A globe or a world map means very little to a five-year-old who can’t yet picture their own street from above. Work from the familiar to the far away:

  1. Me: where my body is in the room (left, right, in front of, behind)
  2. My classroom: a simple bird’s-eye view of desks, the door and the rug
  3. My school: hallways, the library, the playground
  4. My neighborhood: home, streets, stores, parks
  5. My town and state: cities, rivers, highways
  6. My country: states, borders, major landmarks
  7. My world: continents and oceans

Each step uses the previous one as a reference point, so new ideas always connect to something kids already understand.

What K–2 Students Should Learn by Grade

Expectations vary by state, but most map skills curricula follow a similar progression.

GradeCore skillsExample activity
KindergartenPositional words, maps vs. pictures, simple symbols, land vs. waterDraw a map of your bedroom or the classroom rug area
1st gradeMap keys, cardinal directions, maps of school and neighborhood, globesMake a classroom map with a key and label north, south, east and west
2nd gradeCompass rose, continents and oceans, U.S. states, landforms, simple map gridsFind your state on a U.S. map and trace a route between two cities

Hands-On Map Activities That Work

Young children learn geography best when they can move, build and draw. A few ideas that need little prep:

  • Bird’s-eye view challenge: place a toy on the table and have kids draw it from directly above.
  • Classroom treasure hunt: hide an object and give students a simple map with a key to find it.
  • Compass walk: label the walls of the room with N, S, E and W, then call out directions (“Take three steps east”).
  • Map of my route: have kids draw the way from home to school, adding landmarks they pass.
  • Salt-dough landforms: model mountains, valleys, rivers and islands, then label them.
  • Puzzle maps: U.S. or world map puzzles are a quick center activity that builds recognition of shapes and names.

Pair Map Skills With Reading

Geography fits naturally into literacy time. Short informational passages about continents, oceans, landforms or the parts of a map teach key vocabulary while kids practice main idea, details and text features. Students who read about a compass rose and then use one on a real map remember it far better than those who only hear the term once.

If you need ready-made texts, apageoutofhistory.com offers printable geography reading passages with comprehension questions written for kindergarten through second grade. They cover topics like map skills, continents and landforms, and they’re designed to print and use the same day, which makes them easy to drop into morning work, centers or homeschool lessons.

Common Mistakes to Avoid

  • Jumping to the globe too early. Kids need to understand small, familiar maps before abstract ones.
  • Teaching directions as “up” and “down.” North isn’t always up in real life. Practice with a compass and real surroundings.
  • Skipping the map key. Symbols are the core of map reading, so give them plenty of time.
  • Using only worksheets. Movement and building make spatial ideas concrete.
  • Treating geography as a one-time unit. Short, regular practice throughout the year works better than a single two-week block.

Bringing Map Skills Home

Parents and homeschoolers have endless real-world opportunities to practice:

  • Let your child follow along on a map during car rides or walks.
  • Look up places mentioned in books, news or family stories.
  • Hang a world or U.S. map at child height and mark places relatives live or you’ve visited.
  • Use a park or zoo map to plan your route together.

FAQ

At what age can children start learning map skills?

Most kids can start around age four or five with positional words and simple drawings of familiar spaces. Formal map reading with keys and directions usually begins in kindergarten or first grade.

When should kids learn the continents and oceans?

Usually in first or second grade, after they understand that a map is a smaller, bird’s-eye picture of a real place.

How do I teach cardinal directions to young children?

Label the walls of a room with north, south, east and west, play movement games and connect directions to real landmarks, like “the playground is east of our classroom.” A simple phrase like “Never Eat Soggy Waffles” helps with the order on a compass rose.

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Time Zones in Research: How Timestamps, Daylight Saving Time, and “Anywhere on Earth” Deadlines Distort Academic Work

In 2016, Mark Ziemann, Yotam Eren, and Assam El-Osta published a short paper in Genome Biology that embarrassed an entire field. They checked 7,467 supplementary gene lists attached to 3,597 papers in 18 journals and found that 704 of those papers, roughly one in five, contained gene names that Microsoft Excel had silently converted into dates. SEPT2 became September 2. MARCH1 became March 1. The follow-up study by Abeysooriya, Ziemann and colleagues in PLOS Computational Biology (2021) scanned 11,117 articles and found the problem in 30.9% of them. The errors had not gone away; they had grown, partly because the scanning had improved.

Gene names are an unusual case, but the mechanism behind them is common: a field that looks simple, handled by software that makes assumptions nobody checks. Time is the most widespread example. Almost every dataset contains timestamps, and almost every research workflow involves a deadline. Both depend on time zones, daylight saving rules, and calendar conventions that most researchers never think about until something breaks. This article shows where those breakages happen and how to prevent them with a few simple habits.

A Timestamp Without an Offset Is Incomplete Data

The value “2026-10-25 02:30” looks complete, but it isn’t. Without knowing where it was recorded, it can refer to many different moments around the world, 24 hours apart at the extremes. Even with the location known, it can be ambiguous, as the next section shows.

The international standard ISO 8601 solves this by attaching the offset from Coordinated Universal Time (UTC) to every timestamp: 2026-10-25T02:30:00+02:00 refers to one moment and one moment only. The problem is that common research tools rarely store time this way by default. A spreadsheet date is a serial number counting days from a reference date, with no time zone attached. A survey platform may export responses in the server’s time zone, the respondent’s time zone, or UTC, and the column header does not always say which. Wearable devices, data loggers, and electronic lab notebooks each follow their own conventions.

Spreadsheets add another calendar quirk on top of this. Excel’s default date system treats 1900 as a leap year, a deliberate compatibility choice inherited from Lotus 1-2-3. Microsoft documents it, but few users know it exists. The nonexistent date February 29, 1900 has its own serial number, so any interval calculated across early March 1900 is off by one day. Few modern datasets reach back that far, but historical, demographic, and climate records do.

The Hour That Repeats and the Hour That Never Happens

Daylight saving time creates two predictable data problems every year in regions that use it.

In spring, one local hour disappears. On March 29, 2026, clocks in Central Europe jumped from 02:00 straight to 03:00. A device logging “02:30” local time on that date recorded a time that did not exist. In autumn, one local hour happens twice. On October 25, 2026, clocks across the European Union fall back at 01:00 UTC, so in Berlin, Paris and Madrid the hour from 02:00 to 02:59 occurs twice. In the UK it is 01:00 to 01:59. On November 1, 2026, the same thing happens across most of the United States and Canada between 1:00 and 1:59 a.m. local time.

Consider what this does to a dataset recorded in local time:

  • Durations become wrong. A night-shift study that subtracts “22:00” from “06:00” on October 25 gets eight hours, but in Central Europe the participant actually worked nine. In March, the same calculation gives eight hours for a seven-hour shift.
  • Records collide. Two sensor readings taken an hour apart can carry the same local timestamp in the repeated hour. Sorting by timestamp places them next to each other, and deduplication scripts may delete one as a duplicate.
  • Daily aggregates change size. A “day” of data has 23 hours in spring and 25 hours in autumn. Daily totals of energy use, step counts, emergency visits or website traffic shift by about 4% on those dates for purely mechanical reasons.

That last point matters for research on daylight saving time itself. A study that finds more of some event on the Sunday the clocks fall back has to rule out the fact that the day had 25 hours.

Multi-site studies drift out of alignment

International collaborations face an additional problem: different regions change their clocks on different dates. In 2026, the United States moved its clocks forward on March 8 and Europe on March 29, three weeks later. In autumn, Europe falls back on October 25 and the US on November 1. During those gaps, the time difference between, for example, New York and London is one hour shorter than usual. A protocol that collects saliva samples “at 09:00 local time” at both sites, or schedules a joint online session “at 15:00 London time,” quietly changes its timing relative to the other site for those weeks.

The autumn gap between Europe and North America is always exactly one week, because the last Sunday of October and the first Sunday of November are always seven days apart. The spring gap is either two or three weeks, depending on how the Sundays fall in March. Both can be calculated years in advance, which means protocol designers can plan around them rather than discover them in the data.

An Offset Is Not a Time Zone

Many researchers who do record time carefully store the UTC offset, such as −05:00. That is better than nothing, but it is still not enough for data that will be reused for years. An offset describes one moment; a time zone is a set of rules that can change.

Governments change those rules regularly. Mexico abolished daylight saving time for most of the country in 2022. Egypt brought it back in 2023 after several years without it. Yukon moved to permanent year-round time in 2020. Each change means that the offset for a given city on a given date can no longer be calculated from old assumptions. Software handles this through the IANA time zone database, a public reference of the world’s time rules, updated several times a year. It identifies zones by region and city, such as America/Mexico_City or Africa/Cairo, not by abbreviation.

Abbreviations cause their own problems. CST can mean Central Standard Time in North America or China Standard Time. IST can mean India, Ireland, or Israel Standard Time. A dataset that records “CST” as its time zone without other context is genuinely ambiguous. A clear introduction to how world time zones are organized, including the role of UTC and the reasons offsets differ between countries, is a useful reference when designing a data-collection protocol that spans several regions.

The robust practice is to store two things: the moment in UTC, and the IANA zone name of the place where it was recorded. Together they allow any later analyst to recover local time correctly, even after rules change.

Instruments That Keep Their Own Time

Not every clock in a laboratory or field station runs on UTC. GPS receivers use GPS time, which does not count the leap seconds added to UTC since 1980 and is currently 18 seconds ahead of it. Unix timestamps, used by most computers and many logging devices, count seconds since January 1, 1970 and ignore leap seconds entirely. Standalone data loggers drift unless they are synchronized regularly.

For most social-science and clinical datasets, a few seconds don’t matter. For seismology, neuroscience, high-frequency finance, network measurement, or any study that merges streams from several instruments, they do. The leap-second problem is also changing: in 2022, the General Conference on Weights and Measures decided to stop inserting leap seconds into UTC by 2035. Long-running datasets that span the transition should document how each instrument handled time before and after it.

Deadlines: What “Anywhere on Earth” Actually Means

Time zones affect researchers not only in their data but also in their careers, through submission deadlines. Many conferences, especially in computer science and engineering, set deadlines as “end of day, Anywhere on Earth” (AoE). The convention was introduced in the IEEE 802.16 working group in the early 2000s by its chair, Roger Marks, to keep ballot deadlines geographically neutral. A deadline AoE has not passed as long as the date has not ended somewhere on Earth. In practice, that means the date has not ended in the UTC−12 zone, which covers only uninhabited Baker and Howland Islands.

The IEEE documentation makes the key conversion explicit: the end of a day AoE falls at 12:00 UTC on the following day. For a hypothetical deadline of October 30, 2026 AoE, that gives:

LocationLocal time when the deadline passes
UTC reference12:00, October 31
New York (EDT, UTC−4)8:00 a.m., October 31
London (GMT, UTC+0)12:00 noon, October 31
Berlin (CET, UTC+1)1:00 p.m., October 31
New Delhi (IST, UTC+5:30)5:30 p.m., October 31
Tokyo (JST, UTC+9)9:00 p.m., October 31

The table also shows why researchers misread AoE deadlines in both directions. A researcher in Tokyo who assumes the deadline is midnight local time on October 30 submits 21 hours earlier than necessary. A researcher who assumes AoE means “local midnight, plus some leeway” may miss it entirely. The Berlin row shows another trap: since Europe falls back on October 25, the conversion that held throughout September no longer applies in the last week of October.

Funding agencies use different conventions, and these deserve the same attention. The US National Institutes of Health sets application deadlines at 5:00 p.m. local time of the applicant organization. EU Funding and Tenders Portal calls close at 17:00 Brussels time, which means a researcher in Lisbon or Helsinki must convert, and the conversion changes with daylight saving dates. Before planning around any deadline, check the exact local equivalent on a reliable world clock such as worldtimedata.com, instead of relying on memory of the usual time difference.

A Practical Protocol for Research Teams

Most of the problems above can be prevented at the design stage at little cost. The table below lists common practices and the safer alternative for each.

SituationCommon practiceSafer practice
Storing timestampsLocal time, no offsetUTC in ISO 8601 format, plus the IANA zone name of the recording site
Naming time zonesAbbreviations such as CST or ISTIANA identifiers such as America/Chicago or Asia/Kolkata
Calculating durationsSubtracting local clock timesSubtracting UTC moments, then converting the result
Daily aggregatesSumming by local calendar dayFlagging 23-hour and 25-hour days, or normalizing per hour
Multi-site schedules“09:00 local” at every siteChecking daylight saving dates for every site before fieldwork begins
Instrument clocksTrusting the deviceRecording the clock source (UTC, GPS, Unix) and synchronization method in the metadata
SpreadsheetsOpening CSV files directly in ExcelImporting date and identifier columns as text, or using R or Python
DeadlinesAssuming the usual time differenceConverting each deadline to UTC and to local time on the actual date

Two items on this list cost almost nothing and prevent the most damage. The first is a single line in the data management plan stating the time standard used for every timestamp column. The second is a calendar check before any data collection that runs through late March, late October, or early November, the months when clocks change in Europe and North America. Neither requires special software, and both are much easier than reconstructing what “02:30 on October 25” meant two years after the data was collected.

The gene-name studies showed that silent conversions survive peer review because nobody looks for them. Time fields need the same attention. A reviewer who asks “in which time standard are these timestamps recorded?” asks one of the cheapest and most revealing questions in data review, and still one of the least common.

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Entrepreneurship: Turning Ideas into Opportunities

Entrepreneurship is one of the most powerful drivers of economic growth, innovation, employment, and social development. It is the process of identifying opportunities, organizing resources, taking calculated risks, and creating value through a new business, product, service, or social initiative. An entrepreneur is not simply a person who starts a company; an entrepreneur is someone who recognizes a problem or unmet need and develops a practical solution that can create economic or social value.

For owners preparing for a future transaction, Fractional CFO services can also help strengthen financial reporting, forecasting, cash-flow planning, and performance analysis, giving management a clearer picture of the company’s financial position well before a potential sale.

In today’s rapidly changing world, entrepreneurship has become increasingly important. Technology, globalization, digital platforms, changing consumer behavior, and new business models have opened opportunities for individuals to start enterprises with relatively limited resources. From small local businesses and technology startups to social enterprises and creative ventures, entrepreneurship can take many forms.

The Meaning of Entrepreneurship

Entrepreneurship begins with an idea, but a successful enterprise requires much more than an idea. Entrepreneurs must understand the market, identify potential customers, estimate costs, develop products or services, arrange finance, build teams, promote their businesses, and continuously respond to competition and changing market conditions.

Entrepreneurs usually operate in situations where the future is uncertain. They may not know whether customers will accept their product, whether competitors will enter the market, or whether their financial resources will be sufficient. Therefore, entrepreneurship requires careful planning as well as the willingness to take calculated risks.

Successful entrepreneurs do not necessarily avoid risk. Instead, they try to understand, manage, and reduce risk through research, experimentation, financial planning, and continuous learning.

Importance of Entrepreneurship

Entrepreneurship contributes significantly to economic development because new enterprises generate employment and create new sources of income. Small and medium-sized businesses, in particular, provide large numbers of jobs across manufacturing, services, retail, agriculture, construction, technology, tourism, and other sectors.

Entrepreneurship also encourages innovation. Entrepreneurs frequently introduce new products, services, technologies, production methods, and business models. For example, digital payment systems, online education platforms, food delivery services, renewable-energy solutions, and e-commerce businesses have emerged partly because entrepreneurs identified changing needs and developed new ways of meeting them.

Another important contribution of entrepreneurship is competition. New businesses challenge existing firms, encouraging companies to improve quality, reduce costs, adopt technology, and offer better services to customers.

Entrepreneurship can also contribute to regional development. Enterprises established in smaller towns and rural areas can generate local employment, support local supply chains, and reduce excessive dependence on major metropolitan areas.

Characteristics of Successful Entrepreneurs

Successful entrepreneurship is often associated with a combination of personal qualities, managerial skills, and practical experience.

One important characteristic is vision. Entrepreneurs must be able to recognize opportunities that may not be immediately obvious to others. They should understand how customer needs, technology, society, and markets may change over time.

Another important quality is creativity. Entrepreneurship often involves finding new solutions to existing problems. Creativity may appear in product design, marketing, service delivery, pricing, distribution, or the use of technology.

Entrepreneurs also need resilience. Business activities rarely develop exactly according to plan. Entrepreneurs may experience financial difficulties, unsuccessful products, customer complaints, competition, or unexpected market changes. The ability to learn from setbacks and continue improving is therefore essential.

Communication and leadership are equally important. Entrepreneurs frequently need to communicate with employees, customers, investors, suppliers, government agencies, and business partners. Strong communication helps them explain their vision, negotiate agreements, attract customers, and build effective teams.

Financial literacy is another critical skill. Entrepreneurs should understand basic concepts such as revenue, expenditure, profit, cash flow, investment, working capital, pricing, and break-even analysis. A business may have a good product and still fail if its finances are poorly managed.

From an Idea to a Business

The entrepreneurial journey usually begins with identifying a problem or opportunity. Instead of asking, “What business should I start?” aspiring entrepreneurs can ask, “What problem can I solve?”

After identifying an opportunity, the entrepreneur should conduct market research. This involves understanding potential customers, competitors, pricing, demand, and market trends.

The next stage is developing a business model. Entrepreneurs need to determine what they will offer, who their customers will be, how the product or service will be delivered, and how the business will earn revenue.

Before investing heavily, entrepreneurs can test their idea on a small scale. A prototype, pilot project, sample service, or minimum viable product can help determine whether customers are genuinely interested.

Customer feedback is extremely valuable at this stage. It allows entrepreneurs to improve their products before making larger investments.

Role of Technology in Entrepreneurship

Technology has dramatically changed entrepreneurship. A business can now communicate with customers, receive payments, advertise products, manage accounts, collaborate with teams, and sell internationally using digital platforms.

Social media has made marketing more accessible to small businesses. Entrepreneurs can use digital platforms to demonstrate products, communicate directly with customers, build communities, and develop brands.

Artificial intelligence, cloud computing, data analytics, automation, and digital payment systems are also creating new entrepreneurial opportunities. Businesses can use these technologies to improve productivity, understand customer preferences, and reduce operating costs.

However, technology should be viewed as a tool rather than a substitute for a good business idea. Successful businesses still require customer understanding, quality, reliability, trust, and effective management.

Entrepreneurship and Innovation

Innovation is closely connected with entrepreneurship. Innovation does not always mean inventing a completely new technology. It can also involve improving an existing product, developing a better service, introducing a new delivery system, or making an existing solution more affordable.

A local entrepreneur, for example, may create an innovative agricultural supply chain that connects farmers directly with consumers. Another entrepreneur may develop an online platform to provide affordable professional training. Both examples demonstrate innovation even if the underlying technologies already exist.

The most successful innovations usually provide meaningful value to users.

Challenges Faced by Entrepreneurs

Entrepreneurship can be rewarding, but it also involves significant challenges. Access to finance is one of the most common difficulties, particularly for first-time entrepreneurs. Banks and investors may hesitate to support businesses without an established financial history.

Finding skilled employees, attracting customers, managing cash flow, complying with regulations, and dealing with competition can also be difficult.

Entrepreneurs must therefore develop networks and seek support from mentors, incubators, industry associations, universities, government programs, and experienced professionals.

Another challenge is maintaining balance between growth and sustainability. Rapid expansion without adequate systems, financing, or management can create serious problems. Sustainable growth is generally more valuable than expansion that cannot be supported financially or operationally.

Social Entrepreneurship

Entrepreneurship is not limited to profit-making businesses. Social entrepreneurship focuses on solving social or environmental problems through innovative and financially sustainable approaches.

Social entrepreneurs may work in education, healthcare, sanitation, renewable energy, waste management, affordable housing, rural development, or skill development. Their goal is often to combine financial sustainability with measurable social impact.

This approach demonstrates that entrepreneurship can contribute not only to economic development but also to improving quality of life.

The Future of Entrepreneurship

The future of entrepreneurship is closely connected with digital transformation, sustainability, artificial intelligence, clean technologies, healthcare innovation, education technology, financial technology, smart cities, and the circular economy.

Consumers are becoming increasingly aware of environmental and social issues. As a result, businesses that provide environmentally responsible products, efficient resource use, ethical practices, and transparent operations may find growing opportunities.

Young entrepreneurs will also have increasing access to online learning, global markets, digital tools, crowdfunding platforms, and professional networks. These resources can reduce some traditional barriers to starting a business.

Conclusion

Entrepreneurship is ultimately about creating value by transforming ideas into practical solutions. It requires creativity, planning, courage, discipline, adaptability, and continuous learning. Entrepreneurs identify opportunities where others may see problems and attempt to create solutions that benefit customers, communities, and economies.

Not every entrepreneurial idea becomes successful, and failure is an inherent possibility in business. However, the entrepreneurial process itself encourages experimentation, innovation, problem-solving, and learning.

For students, professionals, researchers, and aspiring business owners, developing an entrepreneurial mindset can be valuable even without immediately starting a company. Learning to identify opportunities, evaluate risks, communicate ideas, manage resources, and solve problems can contribute to success across many professions.

Entrepreneurship therefore represents much more than business ownership. It is a mindset focused on opportunity, innovation, value creation, and positive change. In an increasingly dynamic and competitive world, entrepreneurs will continue to play a major role in shaping industries, creating employment, introducing new technologies, and developing solutions for the challenges of the future.

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How do you make time for self-care?

How AI Is Reshaping Commercial Real Estate Investment Analysis and Deal Evaluation

Commercial real estate has long been one of the most data-intensive industries in the world, yet for decades it relied on manual spreadsheets, fragmented databases, and the subjective judgment of individual analysts. That era is ending. Artificial intelligence is now penetrating every layer of the CRE investment lifecycle — from initial deal screening to long-term asset management — and the firms that adapt earliest are gaining a measurable competitive edge. Understanding how this transformation is unfolding, and which tools are driving it, is essential for any investor, broker, or asset manager operating in today’s market.

The Data Problem That Has Always Plagued CRE

Unlike equities or fixed income, commercial real estate lacks a centralized exchange. Pricing is opaque, transaction data is often delayed or incomplete, and comparable analysis requires significant manual effort. A single underwriting package for a mid-market office or industrial asset can involve dozens of variables — rent rolls, lease abstracts, operating expense histories, market vacancy trends, cap rate benchmarks, and debt service assumptions — all of which must be synthesized quickly if a deal is to be evaluated competitively.

This fragmentation has historically created two problems. First, smaller investment shops without large analyst teams are structurally disadvantaged against institutional players who can throw more human capital at due diligence. Second, even well-resourced firms are vulnerable to errors and blind spots when analysts are overwhelmed by deal volume. AI addresses both problems simultaneously by automating data aggregation, standardizing financial modeling inputs, and surfacing risk signals that human reviewers might miss under time pressure.

Underwriting at Machine Speed

One of the most immediate applications of AI in commercial real estate is accelerating the underwriting process. Traditional underwriting timelines — often measured in days or weeks — are being compressed to hours. Machine learning models trained on historical transaction data can generate preliminary valuations, stress-test rent assumptions against market scenarios, and flag properties where the seller’s pro forma appears optimistic relative to actual submarket performance.

This speed advantage is not merely operational. In competitive deal environments, the ability to deliver a credible, data-backed offer faster than a rival bidder can be the difference between closing and losing a transaction. AI-powered underwriting tools also reduce the cognitive load on senior analysts, allowing them to focus on qualitative judgment — tenant credit quality, local market relationships, repositioning potential — rather than spending hours building and checking financial models from scratch.

Scenario Modeling and Sensitivity Analysis

Beyond base-case underwriting, AI enables more sophisticated scenario modeling than most teams could realistically produce manually. Dynamic sensitivity analyses — showing how IRR and equity multiple shift across dozens of combinations of rent growth, exit cap rate, and financing assumptions — can be generated instantly and updated in real time as market conditions change. This gives investment committees a far richer picture of downside risk and return distribution than a single-point estimate ever could.

AI-Driven Demand Signals in Commercial Real Estate

The influence of AI extends beyond internal investment processes. It is also reshaping the physical demand landscape for commercial real estate itself. Data centers, AI research campuses, and advanced manufacturing facilities are among the fastest-growing property types in the current cycle, driven directly by the infrastructure requirements of the AI industry. According to JLL’s analysis of how AI is creating new demand in commercial real estate, the buildout of AI infrastructure is generating significant absorption across industrial, data center, and specialized office segments — a trend that sophisticated investors are actively positioning around.

Understanding these demand signals requires exactly the kind of real-time data synthesis that AI platforms are designed to provide. Investors who can identify emerging AI-driven demand corridors before they become consensus trades will capture the most attractive entry points.

Asset Management and Portfolio Optimization

The value of AI in commercial real estate does not end at acquisition. Post-close asset management is equally transformed. AI systems can monitor lease expirations, track tenant financial health, benchmark operating expenses against peer properties, and generate hold-versus-sell analyses on a continuous basis rather than as a periodic exercise. This shifts asset management from a reactive discipline — responding to problems as they emerge — to a proactive one, where risks are identified and addressed before they affect returns.

Natural Language Processing in Lease Abstraction

One particularly impactful application is natural language processing applied to lease abstraction. Extracting critical economic and legal terms from complex commercial leases has traditionally required hours of attorney or paralegal time per document. NLP models can now perform this task in minutes with high accuracy, dramatically reducing due diligence costs and enabling investors to analyze larger deal volumes without proportional increases in overhead.

Interestingly, the same advances in real-time language processing that are enabling faster lease abstraction and document analysis in CRE are also powering broader AI applications. Researchers exploring fast-response text-to-speech engines for real-time AI companions are developing the underlying language model infrastructure that increasingly informs how AI platforms process and communicate complex information — a convergence that will continue to benefit enterprise AI tools across industries, including real estate.

NOAL: Bringing Institutional-Grade AI to CRE Professionals

Among the platforms emerging to meet this moment, NOAL stands out for its focused approach to the commercial real estate investment workflow. Noal is an AI-powered commercial real estate platform built specifically around the disciplines that matter most to CRE professionals: underwriting, investment analysis, deal evaluation, financial modeling, and asset management. Rather than offering a generic AI assistant layered on top of existing tools, NOAL is purpose-built for the specific analytical demands of the CRE industry, integrating the data inputs and output formats that investment teams actually use.

This specialization matters. Generic AI tools require significant customization and prompt engineering to produce outputs that meet the standards of institutional real estate analysis. A platform designed from the ground up for CRE workflows can deliver accurate, actionable results with far less friction, allowing teams to move faster without sacrificing analytical rigor.

The Competitive Imperative

The adoption curve for AI in commercial real estate is steepening. Early adopters are already reporting meaningful improvements in deal throughput, underwriting accuracy, and portfolio performance monitoring. As these advantages compound over time — better deals sourced, fewer errors in underwriting, more proactive asset management — the gap between AI-enabled firms and those still relying on legacy processes will widen.

For investment managers, developers, and brokers, the question is no longer whether AI will transform commercial real estate. It already is. The question is whether your organization will be positioned to capture the benefits of that transformation or find itself competing at a structural disadvantage against peers who moved earlier.

Conclusion

Artificial intelligence is not a distant future for commercial real estate — it is the present competitive landscape. From accelerating underwriting timelines and enabling richer scenario analysis to identifying AI-driven demand trends and optimizing portfolio performance, the applications are concrete, measurable, and growing. Platforms purpose-built for the CRE investment workflow are making institutional-grade analytical capabilities accessible to a broader range of market participants, leveling a playing field that has historically favored the largest and most resource-rich firms. For professionals serious about staying ahead in this environment, understanding and adopting the right AI tools is no longer optional — it is a strategic necessity.

Daily writing prompt
What’s a place you visited that felt like home?

Roosh Ventures, Sergey Tokarev’s Venture Fund, Entered the Prestigious Sifted Ranking

Sergey Tokarev’s Ukrainian investment fund Roosh Ventures entered the top 50 investors in France and the Benelux

Investment fund Roosh Ventures, which invests in technology startups in different regions of the world, became the first and only Ukrainian representative in the Sifted ranking. It took 43rd place in the top 50 lenders and investors in France, Belgium, the Netherlands and Luxembourg. In addition, three portfolio companies — Folk, Alma and Gladia — entered the list of the region’s fastest-growing startups. This was announced by Sergey Tokarev, a co-founder of Roosh Ventures, investor and technology entrepreneur.

Sifted Ranking: How the Ukrainian Venture Fund Achieved This

Leading European media outlet Sifted specialises in startups and technology businesses, analyses the venture capital market, compiles authoritative rankings and covers news. When evaluating companies, it considers a set of criteria, including the quality of the formed portfolio, the player’s impact on the development of the local ecosystem and the intensity of completed deals.

Three Roosh Ventures portfolio companies were recognised by Sifted:

  • Folk creates a CRM platform that gives people, rather than algorithms, control over business relationships.
  • Alma is scaling a powerful payment system with a focus on the model of responsible consumption.
  • Gladia develops infrastructure based on artificial intelligence for speech analysis and transcription.

This selection, which brings together innovations from different sectors, demonstrates the fund’s overall investment priorities.

“The appearance of a venture fund from Ukraine among the best demonstrates that the place of registration is no longer a determining factor for the scaling and competitiveness of venture capital. Previously, most positions were allocated to local European funds, so the presence of a Ukrainian player on this list makes it stand out against the general background,” says Sergey Tokarev.

The entrepreneur is confident that this result became possible precisely because of Roosh Ventures’ approach to selecting projects.

“What happened is not a coincidence. It cannot be called an ordinary line in a ranking. By entering the top 50 investors in France and the Benelux, we proved that Ukrainian venture funds are already playing in the top league among European countries,” says co-founder of Roosh Ventures.

The result of the Sifted ranking, which included Roosh Ventures and three of its portfolio companies, is becoming part of a broader trend in which Ukrainian investment and technology teams are increasingly becoming competitors to Western players. For an investor who operates at the intersection of business, technology and social impact, the presence of the venture fund in a European ranking is proof of the right strategy, not an end in itself.

Daily writing prompt
If you had to switch lives with a fictional character for a week, who would you choose?