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How COVID Drove the Evolution of Fact Checking

Domaine:

natural language processing

Type de record:

dataset
Créateur:
SiwYadBarZan
Éditeur:
Siw
Éditeur:
Har
Hôte:avatar
The files include the tweet ids of the tweets analyzed as part of this research. The demand file contains all the tweets containing fact-checking content whereas the file from fact-checkers includes tweets on fact-checking shared from the Twitter handles of the 15 organizations- Africa Check, AltNews, BOOM Live, Chequeado, Correctiv, Dogruluk Payi, EUvsDisinfo, Falsoo, Folha de S. Paulo: Agencia Lupa, Liputan6, Maldita, Pesa Check, Sebernarnya, Teyit and Turn Back Hoax. Thirteen of these are independent fact-checking organizations while two - Liputan 6 and Agencia Lupa - are fact-checking bodies within larger news networks. Although Liputan6 is a larger news program, we only study the twitter activity relevant to its fact-checking body by specifying the url to in the twitter API query parameter.

Visit

doi.orgdataverse.harvard.edu

Languages

Lopa

Tags

Social SciencesSocial Media, Covid-19, misinformation, fact-checking

Licenses

info:eu-repo/semantics/openAccessCreative Commons Zero v1.0 Universalhttps://creativecommons.org/publicdomain/zero/1.0/legalcode

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