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Detecting misinformation in online social networks using cognitive psychology | Human-centric Computing and Information Sciences | Full Text

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The paper explores the use of concepts in cognitive psychology to evaluate the spread of misinformation, disinformation and propaganda in online social networks. Analysing online social networks to identify metrics to infer cues of deception will enable us to measure diffusion of misinformation. The cognitive process involved in the decision to spread information involves answering four main questions viz consistency of message, coherency of message, credibility of source and general acceptability of message. We have used the cues of deception to analyse these questions to obtain solutions for preventing the spread of misinformation. We have proposed an algorithm to effectively detect deliberate spread of false information which would enable users to make informed decisions while spreading information in social networks. The computationally efficient algorithm uses the collaborative filtering property of social networks to measure the credibility of sources of information as well as quality of news items. The validation of the proposed methodology has been done on the online social network `Twitter’.

Detecting misinformation in online social networks using cognitive psychology Research Open access Published: 24 September 2014 Volume 4 , article number 14 ( 2014 ) Cite this article You have full access to this open access article Download PDF Save article View saved research Human-centric Computing and Information Sciences Detecting misinformation in online social networks using cognitive psychology Download PDF Abstract The paper explores the use of concepts in cognitive psychology to evaluate the spread of misinformation, disinformation and propaganda in online social networks. Analysing

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