Fake or Credible? Towards Designing Services to Support Users’ Credibility Assessment of News Content

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dc.contributor.authorBunde, Enrico
dc.contributor.authorKühl, Niklas
dc.contributor.authorMeske, Christian
dc.date.accessioned2021-12-24T17:34:30Z
dc.date.available2021-12-24T17:34:30Z
dc.date.issued2022-01-04
dc.description.abstractFake news has become omnipresent in digitalized areas such as social media platforms. While being disseminated online, it also poses a threat to individuals and societies offline, for example, in the context of democratic elections. Research and practice have investigated the detection of fake news with behavioral science or method-related perspectives. However, to date, we lack design knowledge on presenting fake news warnings to users to support their individual news credibility assessment. We present the journey through the first design cycle on developing a fake news detection service focusing on the user interface design. The design is grounded in concepts from the field of source credibility theory and instantiated in a prototype that was qualitatively evaluated. The 13 participants communicated their interest in a lightweight application that aids in the news credibility assessment and rated the design features as useful as well as desirable.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.237
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79569
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectService Analytics
dc.subjectartificial intelligence
dc.subjectdesign science research
dc.subjectfake news
dc.subjectsource credibility
dc.titleFake or Credible? Towards Designing Services to Support Users’ Credibility Assessment of News Content
dc.type.dcmitext

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