2021/09/21 by Enrico Bunde, Niklas Kühl, Bunde, Enrico +3
Computer Science · Social Sciences · #Business #Computer science #Context (archaeology) #Credibility #FOS: Computer and information sciences #Fake news #Hate Speech and Cyberbullying Detection #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Internet privacy #Marketing #Misinformation and Its Impacts #Political science #Service (business) #Social Media and Politics #Social media #Source credibility #World Wide Web #cs.HC #cs.IR
paper · pdf · doi:10.48550/arxiv.2109.13336
Hawaii International Conference on System Sciences 2022 (HICSS-55)
arxiv created 2021/09/21 · openalex publication_date 2021/09/21 · arxiv updated 2021/09/29 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
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.