Minimizing the spread of misinformation in online social networks: A survey

Online social networks provide an opportunity to spread messages and news fast and widely. One may appreciate the quick spread of legitimate news and messages but misinformation can also be spread quickly and may raise concerns, questioning reliability and trust in such networks. As a result, detect...

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Bibliographic Details
Published in:Journal of network and computer applications 2021-07, Vol.186, p.103094, Article 103094
Main Authors: Zareie, Ahmad, Sakellariou, Rizos
Format: Article
Language:English
Subjects:
Diffusion models
Influence minimization
Misinformation spread minimization
Social networks
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Summary:Online social networks provide an opportunity to spread messages and news fast and widely. One may appreciate the quick spread of legitimate news and messages but misinformation can also be spread quickly and may raise concerns, questioning reliability and trust in such networks. As a result, detecting misinformation and containing its spread has become a hot topic in social network analysis. When misinformation is detected, some actions may be necessary to reduce its propagation and impact on the network. Such actions aim to minimize the number of users influenced by misinformation. This paper reviews approaches for solving this problem of minimizing spread of misinformation in social networks and proposes a taxonomy of different methods.
ISSN:1084-8045
1095-8592
DOI:10.1016/j.jnca.2021.103094