Misinformation: Research Area — Prolific Citations Library

Discover 21 peer-reviewed studies in Misinformation (2020–2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 21 peer-reviewed papers in the research area of Misinformation in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (20 of 21)

Tokenization of social media engagements increases the sharing of false (and other) news but penalization moderates it

Authors: M Alizadeh, E Hoes, F Gilardi

Year: 2025

Published in: Scientific Reports, 2023 - nature.com

Institution: Department of Marketing, University of Amsterdam, Department of Social Sciences, Università Degli Studi di Milano, Department of Political Science and International Relations, Università Degli Studi di Milano

Research Area: Social media, Misinformation, Computational Social Science

Discipline: Computational Social Science

Token-based incentives for social media engagement increase the sharing of misinformation, but implementing penalties for objectionable content can reduce this trend without fully eliminating it.

Methods: Survey experiment analyzing the impact of hypothetical token rewards and penalties on user willingness to share different types of news content.

Key Findings: Effect of token-based incentives and penalties on user engagement and the willingness to share misinformation.

DOI: https://doi.org/10.1038/s41598-023-40716-2

Citations: 20
People Overtrust AI-Generated Medical Advice despite Low Accuracy

Authors: S Shekar, P Pataranutaporn, C Sarabu, GA Cecchi

Year: 2025

Published in: NEJM AI, 2025 - ai.nejm.org

Institution: MIT Media Lab, IBM Research, Stanford University, Massachusetts Institute of Technology

Research Area: AI Ethics, Healthcare, Patient Trust, Medical Misinformation

Discipline: Artificial Intelligence, Human-Computer Interaction (HCI), AI Ethics

This paper discusses a study by MIT researchers detailing patient trust in AI-generated medical advice, even when that advice is incorrect, raising concerns about misinformation in healthcare.

Citations: 19
What's in the black box? How algorithmic knowledge promotes corrective and restrictive actions to counter misinformation in the USA, the UK, South Korea and Mexico

Authors: M Chung

Year: 2025

Published in: Internet Research, 2023 - emerald.com

Institution: University of Washington, Emory University

Research Area: Algorithmic Knowledge, Misinformation Countermeasures, Comparative Media Studies, Information Science

Discipline: Information Science

The study examines how algorithmic knowledge influences attitudes and actions against misinformation, revealing that perceptions of media influence on self and others predict corrective actions and support for regulation differently across four countries.

Methods: Four national surveys were conducted in the USA, UK, South Korea, and Mexico, with data analyzed through multigroup structural equation modeling (SEM).

Key Findings: Algorithmic knowledge, perceived influence of misinformation on self and others, intention to correct misinformation, support for regulation and content moderation.

DOI: https://doi.org/10.1108/INTR-07-2022-0578

Citations: 14

Sample Size: 5432
Community notes vs. related articles: Assessing real-world integrated counter-rumor features in response to different rumor types on social media

Authors: S Kankham, JR Hou

Year: 2025

Published in: International Journal of Human--Computer ..., 2025 - Taylor & Francis

Institution: National Cheng Kung University

Research Area: Social Media and Misinformation Countermeasures in HCI

Discipline: Human-Computer Interaction (HCI)

The study found that integrated counter-rumor features, such as community notes and related articles, reduce users' intentions to believe and spread social media rumors; community notes worked better for 'wish' rumors, while related articles were more effective for 'dread' rumors.

Methods: Conducted an experimental study evaluating the effects of community notes and related articles on online users' intentions to believe and spread two types of rumor tweets: wish and dread rumors.

Key Findings: Online users' intentions to believe and spread rumors on social media with and without integrated counter-rumor features (community notes and related articles).

DOI: https://www.tandfonline.com/doi/abs/10.1080/10447318.2024.2400389

Citations: 11

Sample Size: 201
Going viral: Sharing of misinformation by social media influencers

Authors: R Mulcahy, R Barnes

Year: 2025

Published in: Australasian ..., 2025 - journals.sagepub.com

Institution: University of the Sunshine Coast

Research Area: Social Media, Misinformation, Influencer Marketing

Discipline: Social Science

The paper investigates how misinformation shared by social media influencers garners virality and impacts perceived deception, parasocial interactions, and sharing intent, highlighting the role of appraisals and user comments.

Methods: Three online experimental studies grounded in social influence theory and cognitive appraisal theory (CAT), analyzing user behavior in response to influencer posts with varying levels of virality and comment types.

Key Findings: Virality of posts, perceived deception, parasocial interaction, sharing intent, and effects of user comments (critical vs. supportive).

Citations: 9
Eyewitness Misinformation Susceptibility Across Data Collection Contexts: Comparing Laboratory, Online, and Prolific Participant Responses

Authors: M Brassil, É Duncan, C Greene, B Mac Síthigh

Year: 2025

Published in: 2025 - osf.io

Institution: University College Dublin

Research Area: Eyewitness Memory, Misinformation Effect, Behavioral Research Methods, Online Data Collection Platforms

Discipline: Psychology

The study found that data collection contexts significantly influence susceptibility to eyewitness misinformation, with Prolific participants being less accurate and more susceptible compared to Laboratory or general online participants.

Methods: Two studies were conducted comparing eyewitness misinformation susceptibility across Laboratory, Prolific, and General Online participant groups under varying visual perceptual load conditions.

Key Findings: Eyewitness misinformation susceptibility and recall accuracy across Laboratory, Prolific, and General Online participant groups; the effect of visual perceptual load on recall accuracy.

Citations: 1
As Good As A Coin Toss: Human detection of AI-generated images, videos, audio, and audiovisual stimuli

Authors: D Cooke, A Edwards, S Barkoff, K Kelly

Year: 2024

Published in: arXiv preprint arXiv:2403.16760, 2024 - arxiv.org

Institution: King’s College London, Center for Strategic and International Studies

Research Area: Detection of AI-Generated Multimedia, Misinformation, Human-Computer Interaction (HCI)

Discipline: Human-Computer Interaction (HCI), Artificial Intelligence, Media Studies

People struggle to distinguish AI-generated media from authentic content, with detection accuracy averaging close to chance (50%), and performance declines in certain conditions like synthetic human faces, foreign languages, or heterogeneous media modalities.

Methods: Perceptual study evaluating participants' ability to identify authentic and synthetic images, audio, video, and audiovisual stimuli under various conditions.

Key Findings: Human ability to detect AI-generated media compared to authentic media, including factors like modality, content type, foreign languages, and participant demographics.

DOI: https://doi.org/10.48550/arXiv.2403.16760

Citations: 44

Sample Size: 1276
Trust, personality, and belief as determinants of the organic reach of political disinformation on social media

Authors: T Buchanan

Year: 2024

Published in: The Social Science Journal, 2025 - Taylor & Francis

Institution: University of Westminster

Research Area: Social Media, Political Communication, Misinformation Research

Discipline: Computational Social Science

The organic reach of political disinformation on social media is driven more by lower conscientiousness and belief in the stories' truth than by trust in the source or agreeableness.

Methods: An online experiment exposed participants to real disinformation stories and asked them to rate their likelihood of sharing and interacting with the content.

Key Findings: The influence of trust in the source, agreeableness, conscientiousness, and belief in the truth of disinformation on likelihood of sharing (organic reach).

Citations: 30

Sample Size: 172
Empowering social media users: nudge toward self-engaged verification for improved truth and sharing discernment

Authors: F Tu

Year: 2024

Published in: Journal of Communication, 2024 - academic.oup.com

Institution: University of Michigan

Research Area: Social Media, Misinformation, Self-Verification, User Empowerment

Discipline: Communication Studies

DOI: https://doi.org/10.1093/joc/jqae007

Citations: 8
Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation

Authors: F Zanartu, J Cook, M Wagner, J Garcia

Year: 2024

Published in: ArXiv

Institution: Monash University, University of Melbourne

Research Area: Artificial Intelligence, Computational Social Science, Misinformation Detection, Fallacy Analysis in Climate Communication.

Discipline: Artificial Intelligence, Computational Social Science

Citations: 6
On the role of large language models in crowdsourcing misinformation assessment

Authors: J Xu, L Han, S Sadiq, G Demartini

Year: 2024

Published in: Proceedings of the International ..., 2024 - ojs.aaai.org

Institution: University of Lausanne, EPFL, University of Southampton, University of Queensland

Research Area: Crowdsourcing, Misinformation Assessment, LLM

Discipline: Artificial Intelligence

DOI: https://doi.org/10.1609/icwsm.v18i1.31417

Citations: 6
Share to stop the harm: How social media metrics drive sharing of fact-checking messages via first-person perception

Authors: M Chung

Year: 2024

Published in: Mass Communication and Society, 2024 - Taylor & Francis

Institution: Northeastern University

Research Area: Misinformation, Fact-Checking, Social Media Behavior

Discipline: Social Science

DOI: https://www.tandfonline.com/doi/abs/10.1080/15205436.2023.2240302

Citations: 5
Source-credibility information and social norms improve truth discernment and reduce engagement with misinformation online

Authors: T Prike, LH Butler, UKH Ecker

Year: 2023

Published in: Scientific Reports, 2024 - nature.com

Institution: University of Western Australia, University of Exeter, University of Cambridge

Research Area: Social Science, Misinformation, Human Behavior, Media Studies

Discipline: Social Science

DOI: https://doi.org/10.1038/s41598-024-57560-7

Citations: 45
Why do people share political information and misinformation online? Developing a bottom-up descriptive framework

Authors: R Perach, L Joyner, D Husbands, T Buchanan

Year: 2023

Published in: Social Media+ ..., 2023 - journals.sagepub.com

Institution: University of Westminster

Research Area: Misinformation, Social Media Sharing Behavior, Political Psychology

Discipline: Social Science

DOI: https://journals.sagepub.com/doi/abs/10.1177/20563051231192032

Citations: 22
Diffusion of Community Fact-Checked Misinformation on Twitter

Authors: Chiara Drolsbach, Nicolas Pröllochs

Year: 2023

Published in: ArXiv

Institution: JLU Giessen

Research Area: Computational Social Science, Misinformation, Social Media Analysis

Discipline: Computational Social Science
How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media

Authors: Z Epstein, H Lin, G Pennycook, D Rand

Year: 2022

Published in: arXiv preprint arXiv:2207.07562, 2022 - arxiv.org

Institution: MIT Media Lab, University of Regina, Sloan School of Management, Massachusetts Institute of Technology

Research Area: Social media, Misinformation, Human-Computer Interaction (HCI)

Discipline: Computational Social Science

DOI: https://doi.org/10.48550/arXiv.2207.07562

Citations: 32
Fake news zealots: Effect of perception of news on online sharing behavior

Authors: F t'Serstevens, G Piccillo, A Grigoriev

Year: 2022

Published in: Frontiers in psychology, 2022 - frontiersin.org

Institution: Maastricht University

Research Area: Online Sharing Behavior, Fake News, Misinformation, Psychology

Discipline: Social Science

DOI: https://doi.org/10.3389/fpsyg.2022.859534

Citations: 21
Impact of social reference cues on misinformation sharing on social media: Series of experimental studies

Authors: CM Jones, D Diethei, J Schöning, R Shrestha

Year: 2022

Published in: Journal of Medical ..., 2023 - jmir.org

Research Area: Social Media, Misinformation, Social Influence

Discipline: Social Science, Digital Health

DOI: https://doi.org/10.2196/45583

Citations: 19
The trajectory of truth: A longitudinal study of the illusory truth effect

Authors: EL Henderson, DJ Simons, DJ Barr

Year: 2021

Published in: Journal of cognition, 2021 - pmc.ncbi.nlm.nih.gov

Institution: University of Illinois at Urbana-Champaign, Cornell University, University of Rochester, NiH

Research Area: Cognitive Psychology, Illusory Truth Effect, Misinformation, Memory

Discipline: Psychology

Citations: 78
Why do people spread false information online? The effects of message and viewer characteristics on self-reported likelihood of sharing social media ...

Authors: T Buchanan

Year: 2020

Published in: Plos one, 2020 - journals.plos.org

Institution: University of Westminster

Research Area: Misinformation, Social Media, Behavioral Science

Discipline: Computational Social Science, Media Studies

Citations: 418