Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions

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dc.contributor.authorGuo, Zhenen
dc.contributor.authorCho, Jin-Heeen
dc.contributor.authorLu, Chang-Tienen
dc.date.accessioned2023-04-14T15:01:07Zen
dc.date.available2023-04-14T15:01:07Zen
dc.date.issued2022-12en
dc.description.abstractFor decades, the spread of disinformation in online social networks (OSNs) has been a serious social issue. Disinformation via social media can easily mislead people's beliefs toward or against an event that may mislead their behaviors based on the misbeliefs. The game theory approaches have been proposed under dynamic settings to limit the adverse influences of disinformation. It is a challenge to expand the users' game strategies from the spreading decisions to the possible opinion updating choices. This work proposes a game-theoretic opinion framework that can formulate dynamic opinions by a belief model called Subjective Logic (SL) and provide opinion updates on five types of users' interactions on OSN platforms. The opinions are updated based on user choices and user types through the game interactions among legitimate users, attackers, and a defender in an OSN. Via the extensive simulation experiments, the effectiveness of the opinion models of five decision-makers (DMs) is analyzed in terms of users believing or disbelieving disinformation in an epidemic model with parameter optimization. Our results show that while homophily-based DMs (H-DMs) introduce the highest opinion polarization, uncertainty-based DMs (U-DMs) can effectively filter untrustworthy users propagating disinformation.en
dc.description.notesThis work was supported by NSF under Grant III-2107450 and Grant CNS-2141095en
dc.description.sponsorshipNSF [III-2107450, CNS-2141095]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/TCSS.2022.3225375en
dc.identifier.urihttp://hdl.handle.net/10919/114511en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectDisinformationen
dc.subjectinfluenceen
dc.subjectopinion dynamicsen
dc.subjectopinion/network polarizationen
dc.subjectsubjective opinionen
dc.subjectuncertaintyen
dc.titleMitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactionsen
dc.title.serialIeee Transactions on Computational Social Systemsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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