Can online attention signals help fact-checkers fact-check? - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Can online attention signals help fact-checkers fact-check?

Résumé

Recent research suggests that not all fact-checking efforts are equal: when and what is fact-checked plays a pivotal role in effectively correcting misconceptions. In that context, signals capturing how much attention specific topics receive on the Internet have the potential to study (and possibly support) fact-checking efforts. This paper proposes a framework to study fact-checking with online attention signals. The framework consists of: 1) extracting claims from fact-checking efforts; 2) linking such claims with knowledge graph entities; and 3) estimating the online attention these entities receive. We use this framework to conduct a preliminary study of a dataset of 879 COVID-19-related fact-checks done in 2020 by 81 international organizations. Our findings suggest that there is often a disconnect between online attention and factchecking efforts. For example, in around 40% of countries that fact-checked ten or more claims, half or more than half of the ten most popular claims were not fact-checked. Our analysis also shows that claims are first fact-checked after receiving, on average, 35% of the total online attention they would eventually receive in 2020. Yet, there is a considerable variation among claims: some were fact-checked before receiving a surge of misinformation-induced online attention; others are fact-checked much later. Overall, our work suggests that the incorporation of online attention signals may help organizations assess their fact-checking efforts and choose what and when to fact-check claims or stories. Also, in the context of international collaboration, where claims are factchecked multiple times across different countries, online attention could help organizations keep track of which claims are "migrating" between countries.
Fichier principal
Vignette du fichier
HortaRibeiro-Zannettou-Goga-Benevenuto-West_MEDIATE-22.pdf (271.89 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03871446 , version 1 (25-11-2022)

Identifiants

  • HAL Id : hal-03871446 , version 1

Citer

Manoel Horta Ribeiro, Savvas Zannettou, Oana Goga, Fabrício Benevenuto, Robert West. Can online attention signals help fact-checkers fact-check?. 16th International Conference on Web and Social Media, Jun 2022, Atlanta, United States. ⟨hal-03871446⟩

Collections

CNRS TDS-MACS
5 Consultations
8 Téléchargements

Partager

Gmail Facebook X LinkedIn More