Detection of Fake News Using Machine Learning

Nelson Salgado-Reyes

doi:10.1007/978-3-031-54235-0_1

Detection of Fake News Using Machine Learning

Nelson Salgado-Reyes

Facultad de Ingeniería

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión 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 original	Inglés
Título de la publicación alojada	Information Technology and Systems - ICITS 2024
Editores	Alvaro Rocha, Jorge Hochstetter Diez, Carlos Ferras, Mauricio Dieguez Rebolledo
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	3-16
Número de páginas	14
ISBN (versión impresa)	9783031542343
DOI	https://doi.org/10.1007/978-3-031-54235-0_1
Estado	Publicada - 14 feb. 2024
Evento	International Conference on Information Technology and Systems, ICITS 2024 - Temuco, Chile Duración: 24 ene. 2024 → 26 ene. 2024

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	932 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	International Conference on Information Technology and Systems, ICITS 2024
País/Territorio	Chile
Ciudad	Temuco
Período	24/01/24 → 26/01/24

Nota bibliográfica

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

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10.1007/978-3-031-54235-0_1

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title = "Detection of Fake News Using Machine Learning",

abstract = "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.",

keywords = "fake news, machine learning, models",

author = "Nelson Salgado-Reyes",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Information Technology and Systems, ICITS 2024 ; Conference date: 24-01-2024 Through 26-01-2024",

year = "2024",

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Salgado-Reyes, N 2024, Detection of Fake News Using Machine Learning. En A Rocha, JH Diez, C Ferras & MD Rebolledo (eds.), Information Technology and Systems - ICITS 2024. Lecture Notes in Networks and Systems, vol. 932 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 3-16, International Conference on Information Technology and Systems, ICITS 2024, Temuco, Chile, 24/01/24. https://doi.org/10.1007/978-3-031-54235-0_1

Detection of Fake News Using Machine Learning. / Salgado-Reyes, Nelson.
Information Technology and Systems - ICITS 2024. ed. / Alvaro Rocha; Jorge Hochstetter Diez; Carlos Ferras; Mauricio Dieguez Rebolledo. Springer Science and Business Media Deutschland GmbH, 2024. p. 3-16 (Lecture Notes in Networks and Systems; Vol. 932 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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N2 - 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.

AB - 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.

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SN - 9783031542343

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BT - Information Technology and Systems - ICITS 2024

A2 - Rocha, Alvaro

A2 - Diez, Jorge Hochstetter

A2 - Ferras, Carlos

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PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Information Technology and Systems, ICITS 2024

Y2 - 24 January 2024 through 26 January 2024

ER -

Detection of Fake News Using Machine Learning

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