'If This account is True, It is Most Enormously Wonderful': Interestingness-If-True and the Sharing of True and False News

Autor: Emma de Araujo, Sacha Altay, Hugo Mercier
Přispěvatelé: Institut Jean-Nicod (IJN), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS)-Département de Philosophie - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Rok vydání: 2021
Předmět:
PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Social Cognition
Computer science
Internet privacy
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
050801 communication & media studies
050105 experimental psychology
[SCCO]Cognitive science
03 medical and health sciences
0508 media and communications
0302 clinical medicine
Social media
0501 psychology and cognitive sciences
News sharing
Misinformation
PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology
Accuracy
bepress|Social and Behavioral Sciences|Psychology
Fake News
business.industry
Communication
05 social sciences
PsyArXiv|Social and Behavioral Sciences
PsyArXiv|Social and Behavioral Sciences|Psychology
other

bepress|Social and Behavioral Sciences
bepress|Social and Behavioral Sciences|Psychology|Social Psychology
bepress|Social and Behavioral Sciences|Psychology|Personality and Social Contexts
Interestingness-if-true
Fake news
InformationSystems_MISCELLANEOUS
business
Social Media
030217 neurology & neurosurgery
Zdroj: Digital Journalism
Digital Journalism, Routledge, 2021, pp.1-22. ⟨10.1080/21670811.2021.1941163⟩
ISSN: 2167-0811
2167-082X
DOI: 10.6084/m9.figshare.16432424.v1
Popis: International audience; Why would people share news they think might not be accurate? We identify a factor that, alongside accuracy, drives the sharing of true and fake news: the 'interestingness-if-true' of a piece of news. In three pre-registered experiments (N = 904), participants were presented with a series of true and fake news, and asked to rate the accuracy of the news, how interesting the news would be if it were true, and how likely they would be to share it. Participants were more willing to share news they found more interesting-if-true, as well as news they deemed more accurate. They deemed fake news less accurate but more interesting-if-true than true news, and were more likely to share true news than fake news. As expected, interestingnessif-true differed from interestingness and accuracy, and had good face validity. Higher trust in mass media was associated with a greater ability to discern true from fake news, and participants rated as more accurate news that they had already been exposed to (especially for true news). We argue that people may not share news of questionable accuracy by mistake, but instead because the news has qualities that compensate for its potential inaccuracy, such as being interesting-if-true.
Databáze: OpenAIRE