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Un discours et un public « Gilets Jaunes » au coeur du Grand Débat National ? Combinaison des approches IA et textométriques pour l'analyse de discours des plateformes « Grand Débat National » et « Vrai débat »

Abstract : In this contribution, we propose to analyze the statements coming from two "civic tech" platforms-the governmental platform, "Grand Débat National" and, its political and algorithmic response proposed by a Yellow Vest collective, "Vrai Débat"-, by confronting two families of algorithms dedicated to text analysis. We propose to implement, on the one hand, proven approaches in textual data analysis (Reinert/Iramuteq Method) which have recently shown their interest in the analysis of very large corpora and, on the other hand, new methods resulting from the crossroads of the computer worlds, artificial intelligence and automatic language processing. We will examine the methodological solutions for qualifying the social properties of speakers about whom we have little direct information. Finally, we will attempt to present some research questions at the crossroads of the political sociology of public opinion and data science, which such a confrontation opens up.
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https://halshs.archives-ouvertes.fr/halshs-03132818
Contributor : Mathieu Brugidou Connect in order to contact the contributor
Submitted on : Friday, February 5, 2021 - 2:04:45 PM
Last modification on : Saturday, June 25, 2022 - 8:05:42 PM
Long-term archiving on: : Friday, May 7, 2021 - 8:27:26 AM

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Mathieu Brugidou, Philippe Suignard, Caroline Escoffier, Lou Charaudeau. Un discours et un public « Gilets Jaunes » au coeur du Grand Débat National ? Combinaison des approches IA et textométriques pour l'analyse de discours des plateformes « Grand Débat National » et « Vrai débat ». JADT 2020 : 15es Journées internationales d’Analyse statistique des Données Textuelles, Université de Toulouse - Jean Jaurès, Jun 2020, Toulouse, France. pp.1-12. ⟨halshs-03132818⟩

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