"Who Knows? Maybe it Really Works": Analyzing Users' Perceptions of Health Misinformation on Social Media

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 about users' perceptions of this specific type of misinformation and the actions that are necessary from both the platforms and the users themselves to mitigate its proliferation. This paper explores social media users' (n = 22) perceptions of health misinformation. On the basis of our data, we identify specific types of health misinformation and align them with user-suggested countermeasures. We point to the critical demands for anti-misinformation solutions for health topics, emphasizing the transparency of information sources, immediate presentation of information, and clarity. Building on these findings, we propose a series of design recommendations to aid the future development of solutions aimed at counteracting misinformation. CCS CONCEPTS • Human-centered computing → User studies; Web-based interaction; Empirical studies in HCI .