Fact-checking, fake news, propaganda, media bias, and the covid-19 infodemic
15th ACM International Conference on Web Search and Data Mining, WSDM 2022
; : 1632-1634, 2022.
Artigo
em Inglês
| Scopus | ID: covidwho-1741691
ABSTRACT
Social media have democratized content creation and have made it easy for anybody to spread information online. However, stripping traditional media from their gate-keeping role has left the public unprotected against biased, deceptive and disinformative content, which could now travel online at breaking-news speed and influence major public events. For example, during the COVID-19 pandemic, a new blending of medical and political disinformation has given rise to the first global infodemic. We offer an overview of the emerging and inter-connected research areas of fact-checking, disinformation, "fake news'', propaganda, and media bias detection. We explore the general fact-checking pipeline and important elements thereof such as check-worthiness estimation, spotting previously fact-checked claims, stance detection, source reliability estimation, detection of persuasion techniques, and detecting malicious users in social media. We also cover large-scale pre-trained language models, and the challenges and opportunities they offer for generating and for defending against neural fake news. Finally, we discuss the ongoing COVID-19 infodemic. © 2022 ACM.
Texto completo:
Disponível
Coleções:
Bases de dados de organismos internacionais
Base de dados:
Scopus
Idioma:
Inglês
Revista:
15th ACM International Conference on Web Search and Data Mining, WSDM 2022
Ano de publicação:
2022
Tipo de documento:
Artigo
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