Analyzing #lastesis feminist movement in twitter using topic models

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2 Citas (Scopus)

Resumen

Nowadays, social networks have created a massive mean of communication, that was unthinkable many years ago. Informal communication, blogging, and online discussions have transformed the Web into a huge repository of remarks on numerous themes, producing a potential wellspring of data for various areas. In this paper we analyze, using Topic Models, a recent widespread feminist movement. Las Tesis is a feminist collective that initiated a protest against sexual abuse, and that was replicated in more than dozen different countries in matter of days. We use LDA and BTM to detect automatically the topics in over 627643 tweets that were gathered from the 25th November until the 5th January. The resulting topics obtained, from tweets in Spanish and English, show that these algorithms are able to capture the real-world events that occurred in Chile and Turkey.

Idioma originalInglés
Título de la publicación alojadaSocial Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis - 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
EditoresGabriele Meiselwitz
EditorialSpringer
Páginas624-635
Número de páginas12
ISBN (versión impresa)9783030495695
DOI
EstadoPublicada - 2020
Evento12th International Conference on Social Computing and Social Media, SCSM 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Dinamarca
Duración: 19 jul. 202024 jul. 2020

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12194 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia12th International Conference on Social Computing and Social Media, SCSM 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
País/TerritorioDinamarca
CiudadCopenhagen
Período19/07/2024/07/20

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