Communication · Literature

Research papers on Misinformation on social media

Recent and highly-cited academic work on misinformation on social media, gathered from Semantic Scholar, CrossRef and OpenAlex.

1. Fake News: Spread of Misinformation about Urological Conditions on Social Media

   Stacy Loeb, Jacob Taylor, James F. Borin, et al. · 2020 · European Urology Focus · 55 citations

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2. The Geometry of Misinformation: Embedding Twitter Networks of Users Who Spread Fake News in Geometrical Opinion Spaces

   Pedro Ramaciotti Morales, Manon Berriche, Jean-Philippe Cointet · 2023 · Proceedings of the International AAAI Conference on Web and Social Media · 3 citations

   To understand why internet users spread fake news online, many studies have focused on individual drivers, such as cognitive skills, media literacy, or demographics. Recent findings have also shown the role of complex socio-political dynamics, highlighting that political polarization and ideologies are closely linked to a propensity to participate in the dissemination of fake news. Most of the existing empirical studies have focused on the US example by exploiting the self-reported or solicited positioning of users on a dichotomous scale opposing liberals with conservatives. Yet, left-right polarization alone is insufficient to study socio-political dynamics when considering non binary and m

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3. Mapping fake news and misinformation in media: A two-decade bibliometric review of emerging trends

   Vijesh Vijayan, Temin Thomas, Princy D. Nellanat · 2025 · Insight - News Media · 2 citations

   The rapid proliferation of fake news and misinformation poses significant challenges to media trust, public decision-making, and societal cohesion in the digital age. This study employs a bibliometric analysis to systematically map the scholarly landscape surrounding fake news and misinformation across media platforms, focusing on social media’s pivotal role in shaping public perception and trust. Utilizing data from the Scopus database, the study analyzes 560 documents published between 2005 and 2025, uncovering trends in annual scientific production, leading sources, author contributions, and geographical distribution. Key bibliometric indicators, including keyword co-occurrence networks a

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4. Curtailing the spread of fake news: Antecedents of citizens’ intention to correct misinformation on social media

   Beatriz Jordá, Manuel Goyanes, Lorena González-Manzano · 2026 · Communications · 1 citations

   There are severe concerns over the widespread presence of fake news on social media and the vulnerability of citizens to its influence. Prior research on fake news has largely focused on the potential threat it poses to democracy, and has payed less attention to an opposing behavior that has emerged in parallel and mitigates its effects: citizens’ corrective actions. This study seeks to examine the sociopolitical antecedents that drive citizens to correct fake news on social media. Drawing on panel survey data from Spain (T 2 = 570), we explore the role that using social media for news, cross-cutting political discussion, and support for fake news censorship have on intention to correct misi

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5. AI’s Role in Regulating Fake News and Misinformation on Social Media in West Bengal, 2014–2024

   Mahamudul Hasan Gayen · 2025 · International Journal of Politics and Media · 1 citations

   From 2014 to 2024, West Bengal’s social media ecosystem, encompassing over 50 million users on platforms like WhatsApp, X, and Instagram, has amplified fake news and misinformation, intensifying political polarization and communal tensions. This narrative review examines Artificial Intelligence’s (AI) role in mitigating these issues through natural language processing (NLP), visual content verification, and predictive modeling, focusing on key events like the 2016 Dhulagarh riots, the 2020 public health crisis, and the 2024 Murshidabad violence. AI has enabled rapid detection and containment of false narratives, yet it faces challenges such as Bengali dialect complexities, algorithmic biases

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6. The Spread of Fake News and Misinformation in the Digital Social Media Era

   Swati Sharma · 2026 · RESEARCH HUB International Multidisciplinary Research Journal

   The rapid expansion of social media platforms such as Facebook, X (formerly Twitter), Instagram, YouTube and WhatsApp has fundamentally altered the manner in which information is produced, circulated and consumed across the globe. While these platforms have democratised access to information and given ordinary citizens a voice that traditional gatekeepers once controlled, the same openness has created fertile ground for the rapid and often uncontrolled spread of fake news, rumours and misinformation. This article examines the phenomenon of fake news and misinformation in the digital social media era, tracing its historical roots, the technological and psychological factors that accelerate it

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7. Os desafios jurídicos da limitação da liberdade de expressão nas redes sociais frente à disseminação de fake news no Brasil: The legal challenges of limiting free speech on social media amidst the spread of fake news in Brazil

   Hellen Assis dos Santos, Jakeline Nogueira Pinto de Araújo · 2025 · RCMOS - Revista Científica Multidisciplinar O Saber

   This work analyzes the legal challenges related to limiting freedom of expression on social media in the face of the dissemination of fake news in Brazil, a relevant and current topic in the context of digital expansion and the debate on internet regulation. The study aims to understand how it is possible to reconcile the protection of the essential core of freedom of expression with the need to combat disinformation in the digital environment, in light of the jurisprudence of the Supreme Federal Court and Bill No. 2,630/2020. To this end, a qualitative, deductive approach was adopted, based on bibliographic and documentary research, drawing on doctrine, scientific articles, the 1988 Federal

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8. Analysis of news content clarifying misinformation and fake news by media professionals

   Sheel Nidhi Tripathi, Mukul Srivastava · 2021 · The Social Ion

   The rapid global spread of misinformation and false information which we call "infodemic", during Covid-19 is as severe as the Pandemic itself. But, we must not ignore the fact that Mediahas undoubtedly played a major role by not only bringing awareness but also pacifying the masses during the Pandemic on misinformation specially. From Print Media to Digital Media, the entire media fraternity had put its complete vigor and enthusiasm in fighting against this deadly evil whether it is through the presentation of News or clarifying the myth and preventing the misinformation to spread. Keeping this in light, the main aim of this study is to bring forth the role of media professionals in fightin

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9. The Psychology of Misinformation: How People Process Fake News on Social Media

   Abida Kalsoom · 2025 · ACADEMIA International Journal for Social Sciences

   This study explores the psychological underpinnings of misinformation processing on social media, focusing on the role of cognitive biases—specifically confirmation bias and motivated reasoning—in shaping individuals’ belief in fake news. Using an experimental design, 200 participants were exposed to both real and fabricated news articles, with belief levels assessed before and after exposure. The findings reveal a strong positive correlation between cognitive bias scores and susceptibility to misinformation, confirming that individuals with higher bias levels are more likely to accept and trust false information. Regression analysis demonstrated that confirmation bias significantly heighten

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10. Fake News Detection: Mining Social Media Data to Detect and Classify Misinformation

    Raji N · 2025 · International Journal of Information Technology Research Studies (IJITRS)

    The proliferation of misinformation on social media platforms poses significant challenges to information integrity and democratic discourse. This paper presents a comprehensive analysis of computational approaches for fake news detection, examining current methodologies that leverage natural language processing, machine learning, and network analysis to identify and classify misinformation. Through a systematic review of empirical studies published between 2017 and 2024, we identify key features and techniques used in fake news detection systems, evaluate their effectiveness, and discuss limitations and future research directions. Our findings reveal that ensemble methods combining linguist

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