Cognitive AI for Mitigation of Misinformation in Online Social Networks

Misinformation propagation in social networks has emerged as a crucial problem that needs to be attended with prime importance. Despite the existence of several fact-checking mechanisms and misinformation detection tools, users of social media platforms continue to be the victims of misinformation p...

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Bibliographic Details
Published in:IT professional 2022-09, Vol.24 (5), p.37-45
Main Authors: V, Indu, Thampi, Sabu M.
Format: Article
Language:English
Subjects:
Artificial intelligence
Cognition
Cognitive psychology
Fake news
Feature extraction
Information sharing
Propagation
Psychology
Social networking (online)
Social networks
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Summary:Misinformation propagation in social networks has emerged as a crucial problem that needs to be attended with prime importance. Despite the existence of several fact-checking mechanisms and misinformation detection tools, users of social media platforms continue to be the victims of misinformation propagation. This is because human cognition is a strong factor that drives users in consuming and spreading misinformation. This article highlights the significance of cognitive psychology in misinformation propagation analysis and summarizes the challenges faced by current misinformation detection mechanisms. The study shows that there is an immediate requirement for efficient mechanisms combining AI and cognitive psychology that can support humans in making judgements regarding the information appearing on social networks. A cognitive AI framework is proposed that can augment humans’ capability in assessing the veracity of the information online and reinforce positive information sharing behavior in individuals thereby reducing the spread of misinformation.
ISSN:1520-9202
1941-045X
DOI:10.1109/MITP.2022.3168790