Given the evolving role of social media in political communication and the strategic use of these platforms by politicians to shape public opinion, research has commonly focused on investigating computational propaganda as a means for automated information diffusion. Focusing on a less explored yet promising line, we aim to assess political persuasion in digital contexts by introducing a computational framework that combines Natural Language Processing and Network Science methods to investigate the linkage between persuasion techniques on social media and personality traits of online political audiences. Our final goal is to enhance public awareness of political tactics and encourage critical thinking in response to the online spread of political information.

Tell Me Who You Are and I Will Predict Your Vulnerability to Political Persuasion Techniques

Alessia Antelmi
;
In corso di stampa

Abstract

Given the evolving role of social media in political communication and the strategic use of these platforms by politicians to shape public opinion, research has commonly focused on investigating computational propaganda as a means for automated information diffusion. Focusing on a less explored yet promising line, we aim to assess political persuasion in digital contexts by introducing a computational framework that combines Natural Language Processing and Network Science methods to investigate the linkage between persuasion techniques on social media and personality traits of online political audiences. Our final goal is to enhance public awareness of political tactics and encourage critical thinking in response to the online spread of political information.
In corso di stampa
COMPLEX NETWORKS 2023- The 12th International Conference on Complex Networks and their Applications
Menton, Francia
28 - 30 November, 2023
The 12th International Conference on Complex Networks and their Applications - Book of Abstracts
Springer International Publishing
1
4
network science, framework, user behavior prediction, online user behavior, social media, politics
Alessia Antelmi, Lucio La Cava, Arianna Pera
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1949370
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