“Who Knows? Maybe it Really Works”: Analysing Users' Perceptions of Health Misinformation on Social Media

Author:

Tang Huiyun1ORCID,Lenzini Gabriele2ORCID,Greiff Samuel1ORCID,Rohles Björn3ORCID,Sergeeva Anastasia1ORCID

Affiliation:

1. Department of Behavioural and Cognitive Sciences, University of Luxembourg, Luxembourg

2. Interdisciplinary Research Group in Socio-technical Cybersecurity, SnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg

3. Digital Learning Hub, Ministère de l'Éducation nationale, de l'Enfance et de la Jeunesse, Luxembourg

Funder

Fonds National de la Recherche Luxembourg

Publisher

ACM

Reference145 articles.

1. [n. d.]. About Community Notes on X | X Help — help.twitter.com. https://help.twitter.com/en/using-x/community-notes. [Accessed 07-02-2024].

2. [n. d.]. How to prevent the spread of misinformation | WhatsApp Help Center — faq.whatsapp.com. https://faq.whatsapp.com/431498999157251. [Accessed 01-02-2024].

3. Zhila Aghajari, Eric PS Baumer, and Dominic DiFranzo. 2023. Reviewing Interventions to Address Misinformation: The Need to Expand Our Vision Beyond an Individualistic Focus. Proceedings of the ACM on Human-Computer Interaction 7, CSCW1 (2023), 1–34.

4. Twenty-Five Years of Social Media: A Review of Social Media Applications and Definitions from 1994 to 2019

5. Drug information, misinformation, and disinformation on social media: a content analysis study;Al Khaja AJ;Journal of public health policy,2018

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