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.
翻译：在社交媒体平台等数字化领域,假消息已经无处不在,在网上传播的同时,它也对离线的个人和社会构成威胁,例如在民主选举的背景下。研究和实践调查了以行为科学或方法相关视角探测假新闻的情况。然而,迄今为止,我们缺乏向用户提供假新闻警告以支持其个人新闻可信度评估的设计知识。我们展示了在第一个设计周期发展以用户界面设计为重点的假新闻检测服务的过程。设计基于来源可信度理论领域的概念,并在经过定性评估的原型中即时化。13名参与者表达了他们对轻量应用的兴趣,这种应用有助于新闻可信度评估,并将设计特点评为有用和可取。
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