Un discours et un public "Gilets Jaunes" au coeur du Grand D\'ebat National? Combinaison des approches IA et textom\'etriques pour l'analyse de discours des plateformes "Grand D\'ebat National" et "Vrai d\'ebat"

TL;DR

This paper analyzes discourse from two civic tech platforms related to the Yellow Vests movement using both traditional text analysis and AI-based methods, exploring social and political insights.

Contribution

It combines proven text analysis techniques with new AI methods to analyze large corpora and social properties of speakers in political discourse.

Findings

Comparison of traditional and AI-based text analysis methods

Insights into social properties of speakers with limited direct information

Open research questions at the intersection of political sociology and data science

Abstract

In this contribution, we propose to analyze the statements coming from two ''civic tech'' platforms-the governmental platform, ''Grand D{\'e}bat National'' and, its political and algorithmic response proposed by a Yellow Vest collective, ''Vrai D{\'e}bat''-, 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.