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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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FalleDesinfo_ES: Dataset de noticias en español reales y falsas sobre fallecimientos de celebridades

Authors: Riquelme, Fabián; Puraivan, Eduardo; Rivera, Diego; Varas, Magaly; Venegas, René; Mellado, Claudia; Berríos, Anaís; +4 Authors

FalleDesinfo_ES: Dataset de noticias en español reales y falsas sobre fallecimientos de celebridades

Abstract

Este conjunto de datos contiene 33 noticias en español relacionadas con fallecimientos de celebridades, clasificadas en tres tipos, cada uno de los cuales contiene 11 noticias distintas: Tipo 1 (T1): Noticias erróneas (misinformation) que se creyeron la noticia falsa (fake news, disinformation) de la muerte de Noam Chomsky, el 18 de junio de 2024.Tipo 2 (T2): Noticias reales que desmintieron el hecho noticioso de las noticias de T1, el mismo día.Tipo 3 (T3): Noticias reales sobre la muerte de Stephen Hawking, el 14 de marzo de 2018. Cada noticia contiene su tipo, un identificador único, la fecha de su publicación, titular, bajada y cuerpo de la noticia. Note que la mayoría de las noticias del grupo T1 han sido eliminadas, una vez que se verificó que se trataba de un falso rumor. Conjunto de datos creado con propósitos de investigación, para el análisis y clasificación de noticias falsas no intencionadas mediante métodos de inteligencia artificial y procesamiento de lenguaje natural.

This dataset contains 33 news stories in Spanish related to celebrity deaths, classified into three types, each containing 11 different news stories: Type 1 (T1): Misinformation that believed the fake news (disinformation) of Noam Chomsky's death, on June 18, 2024.Type 2 (T2): Real news that denied the news fact of T1 news, on the same day.Type 3 (T3): Real news about Stephen Hawking's death, on March 14, 2018. Each news story contains its type, a unique identifier, the date of its publication, headline, subtitle, and body of the news story. Note that most of the news stories in group T1 have been removed, once it was verified that they were a false rumor. Dataset created for research purposes, for the analysis and classification of unintentional fake news using artificial intelligence methods and natural language processing.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average