“Who Knows? Maybe it Really Works”: Analysing Users’ Perceptions of Health Misinformation on Social Media DOI Open Access
Huiyun Tang, Gabriele Lenzini, Samuel Greiff

et al.

Published: Nov. 21, 2023

Health misinformation, defined as health-oriented information that contradicts empirically supported scientific findings, has become a significant concern on social media platforms. In response, platforms have implemented diverse design solutions to block such misinformation or alert users about its potential inaccuracies. However, there is limited knowledge users' perceptions of this specific type and the actions are necessary from both themselves mitigate proliferation. This paper explores (n = 22) health misinformation. On basis our data, we identify types align them with user-suggested countermeasures. We point critical demands for anti-misinformation topics, emphasizing transparency sources, immediate presentation information, clarity. Building these propose series recommendations aid future development aimed at counteracting

Language: Английский

Quantifying the impact of misinformation and vaccine-skeptical content on Facebook DOI Open Access
Jennifer Allen, Duncan J. Watts, David G. Rand

et al.

Science, Journal Year: 2024, Volume and Issue: 384(6699)

Published: May 30, 2024

Low uptake of the COVID-19 vaccine in US has been widely attributed to social media misinformation. To evaluate this claim, we introduce a framework combining lab experiments (total N = 18,725), crowdsourcing, and machine learning estimate causal effect 13,206 vaccine-related URLs on vaccination intentions Facebook users ( ≈ 233 million). We that impact unflagged content nonetheless encouraged skepticism was 46-fold greater than misinformation flagged by fact-checkers. Although reduced predicted significantly more when viewed, users’ exposure limited. In contrast, stories highlighting rare deaths after were among Facebook’s most-viewed stories. Our work emphasizes need scrutinize factually accurate but potentially misleading addition outright falsehoods.

Language: Английский

Citations

37
Combating misinformation in the age of LLMs: Opportunities and challenges DOI Creative Commons
Canyu Chen, Kai Shu

AI Magazine, Journal Year: 2024, Volume and Issue: 45(3), P. 354 - 368

Published: Aug. 1, 2024

Abstract Misinformation such as fake news and rumors is a serious threat for information ecosystems public trust. The emergence of large language models (LLMs) has great potential to reshape the landscape combating misinformation. Generally, LLMs can be double‐edged sword in fight. On one hand, bring promising opportunities misinformation due their profound world knowledge strong reasoning abilities. Thus, emerging question is: we utilize combat misinformation? other critical challenge that easily leveraged generate deceptive at scale. Then, another important how LLM‐generated In this paper, first systematically review history before advent LLMs. Then illustrate current efforts present an outlook these two fundamental questions, respectively. goal survey paper facilitate progress utilizing fighting call interdisciplinary from different stakeholders

Language: Английский

Citations

30
Countering Misinformation in Private Messaging Groups: Insights From a Fact-checking Chatbot DOI Open Access
Tuan-He Lee, Susan R. Fussell

Proceedings of the ACM on Human-Computer Interaction, Journal Year: 2025, Volume and Issue: 9(1), P. 1 - 30

Published: Jan. 10, 2025

Misinformation on private messaging platforms like WhatsApp and LINE is a global concern. However, research has primarily focused combating misinformation public social media. in difficult to challenge due norms, interpersonal relationships, technological affordances. This study investigates Auntie Meiyu, fact-checking chatbot integrated into LINE, popular service Taiwan. We interviewed 27 users who adopted Meiyu their groups understand motivations perceptions of the chatbot, assess its influence interactions. Participants indicated that they protect close family members from misleading news. Nevertheless, experienced mixed feelings chatbot's robotic style errors detecting misinformation. conclude conversational agents present promising approach for tackling misinformation, particularly when participants disagree, offer design recommendations leveraging AI-enabled countering

Language: Английский

Citations

1
Curbing misinformation dissemination in influencer marketing: how misinformation interventions affect endorsement effectiveness DOI
Quan Xie, Mengtian Jiang, Yang Feng

et al.

International Journal of Advertising, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 32

Published: April 3, 2025

Language: Английский

Citations

1
Quantifying the Impact of Misinformation and Vaccine-Skeptical Content on Facebook DOI Open Access
Jennifer Allen, Duncan J. Watts, David G. Rand

et al.

Published: Sept. 9, 2023

Low uptake of the COVID-19 vaccine in US has been widely attributed to social media misinformation. To evaluate this claim, we introduce a framework combining lab experiments (total N=18,725), crowdsourcing, and machine learning estimate causal effect 13,206 vaccine-related URLs on vaccination intentions Facebook users (N≈233 million). We impact misinformation flagged by fact-checkers was 46X less than that unflagged content nonetheless encouraged skepticism. Although reduced significantly more when viewed, content’s exposure limited. In contrast, stories highlighting rare deaths following were among Facebook’s most-viewed stories. Our work emphasizes need scrutinize factually accurate but potentially misleading addition outright falsehoods.

Language: Английский

Citations

11
Cross-Cultural Perspectives on Fake News: A Comparative Study of Instagram Users in Greece and Portugal DOI Creative Commons

Evangelia Pothitou,

Maria Perifanou, Anastasios A. Economides

et al.

Information, Journal Year: 2025, Volume and Issue: 16(1), P. 41 - 41

Published: Jan. 13, 2025

As our society increasingly relies on digital platforms for information, the spread of fake news has become a pressing concern. This study investigates ability Greek and Portuguese Instagram users to identify news, highlighting influence cultural differences. The responses 220 were collected through questionnaires in Greece Portugal. data analysis characteristics posts, social endorsement, platform usage duration. results reveal distinct user behaviors: Greeks exhibit unique inclination towards connections, displaying an increased trust friends’ content investing more time Instagram, reflecting importance personal connections their media consumption. They also give less certain post’s characteristics, such as opposing beliefs, emotional language, poor grammar, spelling, or formatting when identifying compared Portuguese, suggesting weaker emphasis quality evaluations. These findings show that differences affect how people behave Instagram. Hence, creators, platforms, policymakers need specific plans make online spaces informative. Strategies should focus enhancing awareness key indicators linguistic post structure, while addressing role networks misinformation.

Language: Английский

Citations

0
pytopicgram: A library for data extraction and topic modeling from Telegram channels DOI
Juan Gómez‐Romero, Juan C. Correa, Rubén Mercado

et al.

SoftwareX, Journal Year: 2025, Volume and Issue: 30, P. 102141 - 102141

Published: April 3, 2025

Language: Английский

Citations

0
Labeling Synthetic Content: User Perceptions of Label Designs for AI-Generated Content on Social Media DOI

Dilrukshi Gamage,

Dilini Sewwandi,

Min Zhang

et al.

Published: April 24, 2025

Language: Английский

Citations

0
Everyday Uncertainty: How Blind People Use GenAI Tools for Information Access DOI
Xinru Tang, Ali Abdolrahmani, Darren Gergle

et al.

Published: April 24, 2025

Language: Английский

Citations

0
Mitigating Misinformation Sharing on Social Media through Personalised Nudging DOI
Tom Biselli, Katrin Hartwig, Christian Reuter

et al.

Proceedings of the ACM on Human-Computer Interaction, Journal Year: 2025, Volume and Issue: 9(2), P. 1 - 44

Published: May 2, 2025

The ongoing challenge of misinformation on social media motivates efforts to find effective countermeasures. In this study, we evaluated the potential personalised nudging reduce sharing media, as support has been successfully applied in other areas critical information handling. an online experiment (N = 396) exposing users posts, assessed degree between groups receiving (1) no nudges, (2) non-personalised and (3) nudges. Personalisation was based three psychometric dimensions - general decision-making style, consideration future consequences, need for cognition assign most appropriate nudge from a pool five results showed significant differences (p < .05) all groups, with group least misinformation. Detailed analyses at level revealed that one universally two nudges were only their form. generally confirm personalisation, although effect is limited scope. These findings shed light nuanced studies, highlight benefits raise ethical considerations regarding privacy implications personalisation those inherent

Language: Английский

Citations

0