Identificación del sesgo en los medios más allá de las palabrasuso de la identificación automática de técnicas persuasivas para la detección del sesgo mediático

  1. Carrillo-de-Albornoz, Jorge
  2. Plaza Morales, Laura
  3. Rodrigo-Ginés, Francisco-Javier
Aldizkaria:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Argitalpen urtea: 2023

Zenbakia: 71

Orrialdeak: 179-190

Mota: Artikulua

DIALNET GOOGLE SCHOLAR lock_openRUA editor

Beste argitalpen batzuk: Procesamiento del lenguaje natural

Laburpena

Detectar sesgo mediático es una tarea desafiante debido a la ambigüedad del lenguaje. Los enfoques actuales tienen dificultades para generalizar entre regiones y estilos periodísticos. Proponemos un enfoque centrado en la detección de técnicas lingüísticas en lugar de analizar palabras o representaciones contextuales. Comparamos tres sistemas diferentes basados en diferentes técnicas para identificar el sesgo de los medios: un sistema basado en léxico, un sistema basado en transformers y un sistema de transformers en cascada capaz de detectar técnicas persuasivas. Hemos evaluado estos sistemas utilizando un conjunto de datos de noticias de la guerra de Ucrania. Los resultados del sistema en cascada superan en al menos un 6% a los demás enfoques a la hora de identificar el sesgo de los medios de diferentes países. Nuestros resultados sugieren que los modelos capaces de detectar técnicas lingüísticas retoricas y persuasivas son necesarios para generalizar la detección de sesgo de los medios de manera efectiva.

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