  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.
