Autores
Espinosa González Daniel Yacob
Sidorov Grigori
Ricardez Vázquez Eusebio
Título Automatic Identification of Conspiracy Theories Using BERT
Tipo Congreso
Sub-tipo Memoria
Descripción 25th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2024
Resumen In recent years, we have seen an increase in conspiracy theories on social media. Users create these ideas mainly due to ignorance and distrust of government indices. These types of problems became prominent during the Covid-19 pandemic, representing a serious public health issue. This year, PAN 2024 has organized the task "Oppositional thinking analysis: Conspiracy theories vs critical thinking narratives", to present at CLEF 2024, in which we participated. For this task, we present a solution using a BERT configuration, with a preprocessing layer that has previously given us good results for various types of classification. We also tried combinations of n-grams of words (2-3-4) and characters (2-3-4-5). © 2024 Copyright for this paper by its authors.
Observaciones CEUR Workshop Proceedings v. 3740
Lugar Grenoble
País Francia
No. de páginas 2572-2575
Vol. / Cap.
Inicio 2024-09-09
Fin 2024-09-12
ISBN/ISSN