论文标题
遇到视觉错误信息和跨平台的标签：访谈和日记研究，以告知生态系统方法的错误信息干预措施
Encounters with Visual Misinformation and Labels Across Platforms: An Interview and Diary Study to Inform Ecosystem Approaches to Misinformation Interventions
论文作者
论文摘要
自2016年以来，使用关键词“错误信息”的学术研究数量增加了一倍以上[2]。这项研究通常集中在人工测试环境中显示的文章头条新闻，但错误信息在很大程度上通过在高度人格化的平台环境中共享的图像和视频帖子传播。对于开始填补这一空白的基础是定性研究的基础，以确保平台的视觉误解干预措施与用户的需求和对信息在其个人环境中，跨平台之间的理解保持一致。在两项研究中，我们将深入的访谈（n = 15）与日记和共同设计方法（n = 23）相结合，以研究如何在Covid-19期间暴露于错误信息的广泛混合在一起，了解他们的视觉信息环境，包括与Facebook Fact-Checking Checking Labels等干预措施相遇。分析揭示了用户对平台标签干预措施的视觉信息的态度的深入分歧，这些信息被许多人认为是家长式，有偏见和惩罚性的。除了这些发现，我们讨论了我们的方法，作为跨平台用户经验的持续独立定性研究的模型，这些跨平台用户经历了依据干预措施的错误信息。
Since 2016, the amount of academic research with the keyword "misinformation" has more than doubled [2]. This research often focuses on article headlines shown in artificial testing environments, yet misinformation largely spreads through images and video posts shared in highly-personalized platform contexts. A foundation of qualitative research is necessary to begin filling this gap to ensure platforms' visual misinformation interventions are aligned with users' needs and understanding of information in their personal contexts, across platforms. In two studies, we combined in-depth interviews (n=15) with diary and co-design methods (n=23) to investigate how a broad mix of Americans exposed to misinformation during COVID-19 understand their visual information environments, including encounters with interventions such as Facebook fact-checking labels. Analysis reveals a deep division in user attitudes about platform labeling interventions for visual information which are perceived by many as overly paternalistic, biased, and punitive. Alongside these findings, we discuss our methods as a model for continued independent qualitative research on cross-platform user experiences of misinformation that inform interventions.
