Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content
This addresses the issue of fake news for users on social media platforms, but it is incremental as it builds on existing detection methods to focus on interface design.
The paper tackled the problem of designing user interfaces to help individuals assess news credibility, by developing a prototype based on source credibility theory and evaluating it with 13 participants, who found the features useful and desirable.
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.