dc.contributor.author
Ohme, Jakob
dc.contributor.author
Araujo, Theo
dc.contributor.author
Zarouali, Brahim
dc.contributor.author
de Vreese, Claes H.
dc.date.accessioned
2022-10-06T08:59:53Z
dc.date.available
2022-10-06T08:59:53Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/35915
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-35630
dc.description.abstract
Low levels of news seeking can be problematic for an informed citizenry. Previous research has discussed different types of news non-attendance but conceptual ambiguities between low news usage, general news avoidance, and news topic avoidance still exist. By using a longitudinal design conducted with a chatbot survey among Dutch users (n = 189), this study provides first empirical evidence that helps clarify conceptual differences. First, it estimates the prevalence of these different types of news non-attendance. Second, it tests to what extend cognitive restrictions, quality assessments, and personal relevance are relevant predictors in explaining engagement in three types of non-attendance to news. Third, the study investigates how news usage behaviors (e.g., news curation, news snacking, and verification engagement) may serve as potential user-driven counter strategies against news avoidance. We find evidence for the conceptual differences. Only small shares of news non-attendance are explained by avoidance motivations. Especially news curation and verification engagement can mitigate common drivers of news avoidance, while news snacking reinforces them.
en
dc.format.extent
21 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
News avoidance
en
dc.subject
news snacking
en
dc.subject
misinformation beliefs
en
dc.subject
news curation
en
dc.subject
chatbot survey
en
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::070 Publizistische Medien, Journalismus, Verlagswesen::070 Publizistische Medien, Journalismus, Verlagswesen
dc.title
Frequencies, Drivers, and Solutions to News Non-Attendance: Investigating Differences Between Low News Usage and News (Topic) Avoidance with Conversational Agents
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1080/1461670X.2022.2102533
dcterms.bibliographicCitation.journaltitle
Journalism Studies
dcterms.bibliographicCitation.number
12
dcterms.bibliographicCitation.pagestart
1510
dcterms.bibliographicCitation.pageend
1530
dcterms.bibliographicCitation.volume
23
dcterms.bibliographicCitation.url
https://doi.org/10.1080/1461670X.2022.2102533
refubium.affiliation
Politik- und Sozialwissenschaften
refubium.affiliation.other
Institut für Publizistik- und Kommunikationswissenschaft / Arbeitsstelle Digitalisierung und Partizipation
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1469-9699
refubium.resourceType.provider
WoS-Alert
