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Since 2016, the amount of academic research with the keyword "misinformation"has more than doubled [2]. This research often focuses on article headlinesshown in artificial testing environments, yet misinformation largely spreadsthrough images and video posts shared in highly-personalized platform contexts.A foundation of qualitative research is necessary to begin filling this gap toensure platforms' visual misinformation interventions are aligned with users'needs and understanding of information in their personal contexts, acrossplatforms. In two studies, we combined in-depth interviews (n=15) with diaryand co-design methods (n=23) to investigate how a broad mix of Americansexposed to misinformation during COVID-19 understand their visual informationenvironments, including encounters with interventions such as Facebookfact-checking labels. Analysis reveals a deep division in user attitudes aboutplatform labeling interventions for visual information which are perceived bymany as overly paternalistic, biased, and punitive. Alongside these findings,we discuss our methods as a model for continued independent qualitativeresearch on cross-platform user experiences of misinformation that informinterventions.

Encounters with Visual Misinformation and Labels Across Platforms: An  Interview and Diary Study to Inform Ecosystem Approaches to Misinformation  Interventions