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arXiv · 2410.18670

Health Misinformation in Social Networks: A Survey of IT Approaches

Vasiliki Papanikou·Panagiotis Papadakos·Theodora Karamanidou·Thanos G. Stavropoulos·Evaggelia Pitoura·Panayiotis Tsaparas
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Abstract

In this paper, we present a comprehensive survey on the pervasive issue of medical misinformation in social networks from the perspective of information technology. The survey aims at providing a systematic review of related research and helping researchers and practitioners navigate through this fast-changing field. Specifically, we first present manual and automatic approaches for fact-checking. We then explore fake news detection methods, using content, propagation features, or source features, as well as mitigation approaches for countering the spread of misinformation. We also provide a detailed list of several datasets on health misinformation and of publicly available tools. We conclude the survey with a discussion on the open challenges and future research directions in the battle against health misinformation.

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Vasiliki Papanikou, Panagiotis Papadakos, Theodora Karamanidou, Thanos G. Stavropoulos, Evaggelia Pitoura, Panayiotis Tsaparas. 2024-10-24. Health Misinformation in Social Networks: A Survey of IT Approaches. https://arxiv.org/abs/2410.18670

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