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Navigating the challenges of fake news and media trust

A Bibliometric Study

Bibliographic Data

ID7315692
AuthorsVineeta Dwivedi (0000-0003-0933-5926), Kakoli Sen (0000-0002-7510-5806)
Year2025
Volume23
Issue2
Pages262-283
Publication date2025-01-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Information Communication and Ethics in Society (JOURNAL)
Journal identifiersISSN: 1758-8871 • E-ISSN: 1477-996X
PublisherEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/jices-07-2024-0106
OpenAlexW4406319889
LanguageEN
Citations received3
References cited70

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

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  • Digital literacy, fake news and education / Alfabetización digital, fake news y educación

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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