Detection of Fake News Using Machine Learning

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

In social networks, news is consumed has many consequences for the individual, society and organizations. Fake news on social media and other media are spreading widely and it is a matter of great concern due to its ability to cause a lot of social and national damage with destructive impacts. That is why there are many efforts in the scientific community to develop models that detect them. This article examines various machine learning models for the detection of fake news.

Idioma originalInglés
Título de la publicación alojadaInformation Technology and Systems - ICITS 2024
EditoresAlvaro Rocha, Jorge Hochstetter Diez, Carlos Ferras, Mauricio Dieguez Rebolledo
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas3-16
Número de páginas14
ISBN (versión impresa)9783031542343
DOI
EstadoPublicada - 2024
EventoInternational Conference on Information Technology and Systems, ICITS 2024 - Temuco, Chile
Duración: 24 ene. 202426 ene. 2024

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen932 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Information Technology and Systems, ICITS 2024
País/TerritorioChile
CiudadTemuco
Período24/01/2426/01/24

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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