Navigating the challenges of fake news and media trust
A Bibliometric Study
Bibliographic Data
| ID | 7315692 |
|---|---|
| Authors | Vineeta Dwivedi (0000-0003-0933-5926), Kakoli Sen (0000-0002-7510-5806) |
| Year | 2025 |
| Volume | 23 |
| Issue | 2 |
| Pages | 262-283 |
| Publication date | 2025-01-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Information Communication and Ethics in Society (JOURNAL) |
| Journal identifiers | ISSN: 1758-8871 • E-ISSN: 1477-996X |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/jices-07-2024-0106 |
| OpenAlex | W4406319889 |
| Language | EN |
| Citations received | 3 |
| References cited | 70 |
Purpose Fake News, a disruptive force in the information world, has been extensively researched across various academic domains. This study, however, takes a unique approach by using bibliometric analysis to explore the specific link between fake news and the erosion of media trust. The purpsose of this study is to introduce novel and unexplored research questions that have not been thoroughly investigated, opening up exciting avenues for future research. Design/methodology/approach A thorough bibliometric analysis was conducted on 480 papers published between 2015 and 2023, using VOSviewer and Biblioshiny software packages. These papers were sourced from the well-known electronic research database, Scopus. The study included cluster analysis, bibliographic coupling, citation analysis, content analysis, keyword analysis and a three-field plot, providing a robust examination of the research landscape. Findings The bibliometric content analysis gave eight research clusters in the area. Future research guidelines are proposed, followed by conclusions, limitations and research and management implications. (1) Distrust in media and populism; (2) Social media, conspiracy theories and COVID-19; (3) Fact-checking, misinformation and media dynamics; (4) Fake news, trust and political bias; (5) Polarisation, echo chambers and information bubbles; (6) Political communication and media trust; (7) Media literacy and mass communication; and (8) Disinformation, trust and political consequences. Research limitations/implications The analysis reveals gaps in existing literature, highlighting the need for comprehensive studies that explore the nuanced relationships between fake news and media credibility by using interdisciplinary approaches, combining insights from communication theory, psychology and sociology. This analysis can guide scholars in identifying new research directions. Practical implications Media organisations can use this knowledge to develop strategies that enhance their credibility and counteract the effects of fake news. Policymakers can design informed regulations to combat misinformation and protect public trust. Educators can integrate these insights into curricula to prepare future journalists and media professionals for the evolving landscape. Tech companies can leverage these findings to mitigate fake news and build media trust. Social implications Public trust in media is foundational to democratic societies. Understanding the dynamic of fake news helps recognise broader societal consequences, such as increased polarisation and decreased civic engagement. By addressing the issues, society can work towards restoring faith in the institution of media. Originality/value There is a lack of comprehensive research using bibliometric analysis to understand how the rise of fake news has affected the reputation of traditional media. This study makes a significant contribution, using a bibliographic lens to highlight key themes and pave the way for future research
Automatic summarization · Bibliometrics · Content analysis · Credibility · Data science · Disinformation · Distrust · Misinformation · Political science · Public relations · Social media · Social science · Sociology · World Wide Web · Computer Science · Media Influence and Politics · Misinformation and Its Impacts · Social Media and Politics
We Are the People and You Are Fake News
The Psychology of Fake News
Co‐citation analysis, bibliographic coupling, and direct citation
Co-word analysis as a tool for describing the network of interactions between basic and technological research
Bibliographic coupling between scientific papers
Fake news, social media and marketing
Misinformation in action
Constructing bibliometric networks
Global Mistrust in News
How to conduct a bibliometric analysis
Bibliometrix
Exposure to ideologically diverse news and opinion on Facebook
Bibliometric Methods in Management and Organization
The Global Trust Deficit Disorder
The European approach to online disinformation
Antecedents of News Avoidance
Social media skepticism and belief in conspiracy theories about Covid-19
Estimating cost of fighting against fake news during catastrophic situations
Echo Chambers and Epistemic Bubbles
A systematic review of worldwide causal and correlational evidence on digital media and democracy
The role of (social) media in political polarization
Post-truth
Causes and consequences of mainstream media dissemination of fake news
News media trust and its impact on media use
News media literacy and conspiracy theory endorsement
How Politics Shape Views Toward Fact-Checking
Four Phases of Mediatization
Caught in the Nexus
Civil Society Must Be Defended
Information Flow Within and Across Online Media Platforms
Challenging Journalistic Authority
Are people incidentally exposed to news on social media? A comparative analysis
Why do so few people share fake news? It hurts their reputation
Digital literacy, fake news and education / Alfabetización digital, fake news y educación
Exposure to News, Political Comedy, and Entertainment Talk Shows
Whom to trust? Media exposure patterns of citizens with perceptions of misinformation and disinformation related to the news media
You are fake news
Software survey
How Social Media Facilitates Political Protest
Mistrust, Disinforming News, and Vote Choice
Disdaining the Media
Revisiting the Epistemology of Fact-Checking
Alternative media for a populist audience? Exploring political and media use predictors of exposure to Breitbart, Sputnik, and Co
Do People Watch what they Do Not Trust
Social Media and Fake News in the 2016 Election
Social Media and Trust in Scientific Expertise
Who to Trust on Social Media
Nudge Effect of Fact-Check Alerts
Discursive Deflection
Trust in the Age of Social Media
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |