dc.contributor.author
Sikorski, Christian von
dc.contributor.author
Merz, Pascal
dc.contributor.author
Heiss, Raffael
dc.contributor.author
Bassler, Michaela
dc.contributor.author
Buyny, Clara
dc.contributor.author
Hildebrand, Svenja
dc.contributor.author
Streller, Christoph
dc.contributor.author
Wicki, Evelyn
dc.date.accessioned
2025-12-08T10:26:43Z
dc.date.available
2025-12-08T10:26:43Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/50677
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-50404
dc.description.abstract
Misinformation in digital media environments poses a threat to democracy as it can bias beliefs, behavior, and policy. While social media influencers are often accused of contributing to the spread of misinformation, little is known about their potential role in combating it. In two pre-registered online experiments (N = 1004), we therefore investigated whether human and AI-generated influencers can effectively correct misinformation. The results show that influencers can successfully correct misperceptions on a politically non-polarized topic (mental health). On a politically polarized topic (climate change), however, only the correction of the AI-generated influencer significantly reduced the misperceptions. Overall, the results demonstrate that influencers can support the fight against misinformation and suggest that AI-generated influencers may be particularly effective in addressing more polarized political topics.
en
dc.format.extent
11 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Misinformation
en
dc.subject
Social media influencers
en
dc.subject
Artificial intelligence
en
dc.subject
Climate change
en
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::070 Publizistische Medien, Journalismus, Verlagswesen::070 Publizistische Medien, Journalismus, Verlagswesen
dc.title
Both AI-generated and human influencers can correct misinformation: Investigating the effectiveness of corrections for polarized and non-polarized issues
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
108845
dcterms.bibliographicCitation.doi
10.1016/j.chb.2025.108845
dcterms.bibliographicCitation.journaltitle
Computers in Human Behavior
dcterms.bibliographicCitation.volume
176
dcterms.bibliographicCitation.url
https://doi.org/10.1016/j.chb.2025.108845
refubium.affiliation
Politik- und Sozialwissenschaften
refubium.affiliation.other
Institut für Publizistik- und Kommunikationswissenschaft

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1873-7692
refubium.resourceType.provider
WoS-Alert