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

dc.contributor.author Bunde, Enrico
dc.contributor.author Kühl, Niklas
dc.contributor.author Meske, Christian
dc.date.accessioned 2021-12-24T17:34:30Z
dc.date.available 2021-12-24T17:34:30Z
dc.date.issued 2022-01-04
dc.description.abstract Fake 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.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.237
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79569
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Service Analytics
dc.subject artificial intelligence
dc.subject design science research
dc.subject fake news
dc.subject source credibility
dc.title Fake or Credible? Towards Designing Services to Support Users’ Credibility Assessment of News Content
dc.type.dcmi text
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