Design Exploration of Fake News: A Transdisciplinary Methodological Approach to Understanding Content Sharing and Trust on Social Media

摘要

This work in progress identifies some of the current research work in the areas of fake news, trust and social media. Algorithmic approaches and fact-checking tools are frequently used to help identify fake news sources and influences. Little work has been done on the influences of user experience (aesthetics, interface design, usability) in how end users engage with and recognize news. Standardized UX instruments such as SUPR-Q capture data on Trust, Loyalty and Appearance, as well as usability. UX approaches such as concurrent think aloud and eye tracking could allow for richer data and in-depth exploration of user behavior patterns in their social media use and sharing of news. We thus recommend a transdisciplinary approach to researching fake news that takes into account algorithmic approaches, psychometric data, and qualitative explorations of user behavior.