ReviewSocial network analysis and mining2023
Fake news, disinformation and misinformation in social media: a review.
Review in Social network analysis and mining, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
67 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Development of a Conceptual Framework of Health Misinformation During the COVID-19 Pandemic: Systematic Review of Reviews.JMIR public health and surveillance · 2025Pooled it
- Pooled it
- Why Evidence Is Not Enough: Power, Politics, and a Strategy Shift for Public Health.The Milbank quarterly · 2026Article
- Ethical Frameworks for Conducting Social Challenge Studies.Journal of empirical research on human research ethics : JERHRE · 2026Review
- The art of sharing: From research to outreach in the social media era.Experimental physiology · 2026Article
- Rumor propagation on hypergraphs.Nature communications · 2026Article
- Quality and reliability of health information about altitude sickness on Douyin and Bilibili: a cross-sectional study.BMC public health · 2026Article
- Guidelines vs. generative AI in CKD patient education: the role of prompt engineering and expert blinded evaluation.BMC nephrology · 2026Article
- Cannabis and Psychedelics Among U.S. Young Adults: Use, Messaging Exposure, Perceptions, and Legalization Support.International journal of environmental research and public health · 2026Article
- Online Health Misinformation Susceptibility Increases Health Risk Behaviors and Vaccine Hesitancy: Evidence from Greece.Healthcare (Basel, Switzerland) · 2026Article
- Narrative Divergence and Disinformation: An Entropic Model for Assessing the Informative Utility of Public Information Sources.Entropy (Basel, Switzerland) · 2026Article
- Developing a Trauma-Informed Social Media Campaign to Disseminate Endometriosis-Specific Qualitative Art-Based Research Findings: Tutorial.Journal of medical Internet research · 2026Article
- Far beyond the duality between truth and lies: meanings about fake news revealed by nursing.Revista brasileira de enfermagem · 2026Article
- Assessment of social media use as an educational intervention on antimicrobial resistance targeted at nurses.Revista da Escola de Enfermagem da U S P · 2026Article
- Changing beliefs or changing behavior? Understanding the belief-to-behavior process and intervening to curb the impact of misinformation.Journal of consumer psychology : the official journal of the Society for Consumer Psychology · 2026Article
- An explainable approach to fake news detection using PSO and mutual information.Frontiers in artificial intelligence · 2026Article
- The psychology of manipulative visibility in the digital public sphere: a discourse analysis of audience reactions to deceptive Instagram content.Frontiers in psychology · 2026Article
- A Qualitative Study of the Roles and Responsibilities of Academic and Journalistic Publishing in Social and Behavioral Genomics.Behavior genetics · 2025Article
- Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challenges.MethodsX · 2025Review
- Quality Assessment of Health Information on Social Media During a Public Health Crisis: Infodemiology Study.JMIR infodemiology · 2025Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Online social networks (OSNs) are rapidly growing and have become a huge source of all kinds of global and local news for millions of users. However, OSNs are a double-edged sword. Although the great advantages they offer such as unlimited easy communication and instant news and information, they can also have many disadvantages and issues. One of their major challenging issues is the spread of fake news. Fake news identification is still a complex unresolved issue. Furthermore, fake news detection on OSNs presents unique characteristics and challenges that make finding a solution anything but trivial. On the other hand, artificial intelligence (AI) approaches are still incapable of overcoming this challenging problem. To make matters worse, AI techniques such as machine learning and deep learning are leveraged to deceive people by creating and disseminating fake content. Consequently, automatic fake news detection remains a huge challenge, primarily because the content is designed in a way to closely resemble the truth, and it is often hard to determine its veracity by AI alone without additional information from third parties. This work aims to provide a comprehensive and systematic review of fake news research as well as a fundamental review of existing approaches used to detect and prevent fake news from spreading via OSNs. We present the research problem and the existing challenges, discuss the state of the art in existing approaches for fake news detection, and point out the future research directions in tackling the challenges.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.