Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/79569

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

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Title:Fake or Credible? Towards Designing Services to Support Users’ Credibility Assessment of News Content
Authors:Bunde, Enrico
Kühl, Niklas
Meske, Christian
Keywords:Service Analytics
artificial intelligence
design science research
fake news
source credibility
Date Issued:04 Jan 2022
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.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/79569
ISBN:978-0-9981331-5-7
DOI:10.24251/HICSS.2022.237
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Service Analytics


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