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Published in:
2021 | OriginalPaper | Chapter
Profiling Fake News Spreaders: Personality and Visual Information Matter
Authors : Riccardo Cervero, Paolo Rosso, Gabriella Pasi
Published in: Natural Language Processing and Information Systems
Publisher: Springer International Publishing
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Abstract
Fake news are spread by exploiting specific linguistic patterns aimed at triggering negative emotions and persuading the consumers. A way to contrast this phenomenon is to analyse the psychological factors underlying consumers’ vulnerabilities. This paper is situated in this research context: first, we study the correlation between psycho-linguistic patterns in user’s posts and the tendency to spread false information. Moreover, since online contents exploit multimedia information, a methodology aimed at profiling the authors based on the images they share is employed. The reported experiments show that the proposed method, which considers both text-related and image-related features, outperforms the results of state-of-the-art approaches.