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.

Cervero, R., Rosso, P., Pasi, G. (2021). Profiling Fake News Spreaders: Personality and Visual Information Matter. In Natural Language Processing and Information Systems 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings (pp.355-363). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-80599-9_31].

Profiling Fake News Spreaders: Personality and Visual Information Matter

Pasi G.
2021

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.
paper
Author profiling; Personality traits; Visual information;
English
26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021 - 23 June 2021 through 25 June 2021
2021
Métais, E; Meziane, F; Horacek, H; Kapetanios, E
Natural Language Processing and Information Systems 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings
9783030805982
2021
12801
355
363
none
Cervero, R., Rosso, P., Pasi, G. (2021). Profiling Fake News Spreaders: Personality and Visual Information Matter. In Natural Language Processing and Information Systems 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings (pp.355-363). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-80599-9_31].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/394905
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