Political Communities on Twitter: Case Study of the 2022 French Presidential Election - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Political Communities on Twitter: Case Study of the 2022 French Presidential Election

Résumé

With the significant increase in users on social media platforms, a new means of political campaigning has appeared. Twitter and Facebook are now notable campaigning tools during elections. Indeed, the candidates and their parties now take to the internet to interact and spread their ideas. In this paper, we aim to identify political communities formed on Twitter during the 2022 French presidential election and analyze each respective community. We create a large-scale Twitter dataset containing 1.2 million users and 62.6 million tweets that mention keywords relevant to the election. We perform community detection on a retweet graph of users and propose an in-depth analysis of the stance of each community. Finally, we attempt to detect offensive tweets and automatic bots, comparing across communities in order to gain insight into each candidate's supporter demographics and online campaign strategy.
Fichier principal
Vignette du fichier
2022.politicalnlp-1.9.pdf (3.66 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04445532 , version 1 (09-02-2024)

Identifiants

  • HAL Id : hal-04445532 , version 1

Citer

Hadi Abdine, Yanzhu Guo, Virgile Rennard, Michalis Vazirgiannis. Political Communities on Twitter: Case Study of the 2022 French Presidential Election. First Workshop on Natural Language Processing for Political Sciences (politicalnlp2022) co-located with LREC 2022, Jun 2022, Marseille, France. pp.62-71. ⟨hal-04445532⟩
17 Consultations
27 Téléchargements

Partager

Gmail Facebook X LinkedIn More