A Browser Extension for in-place Signaling and Assessment of Misinformation
Proceedings of the CHI Conference on Human Factors in Computing Systems(2024)
Abstract
The status-quo of misinformation moderation is a central authority, usually
social platforms, deciding what content constitutes misinformation and how it
should be handled. However, to preserve users' autonomy, researchers have
explored democratized misinformation moderation. One proposition is to enable
users to assess content accuracy and specify whose assessments they trust. We
explore how these affordances can be provided on the web, without cooperation
from the platforms where users consume content. We present a browser extension
that empowers users to assess the accuracy of any content on the web and shows
the user assessments from their trusted sources in-situ. Through a two-week
user study, we report on how users perceive such a tool, the kind of content
users want to assess, and the rationales they use in their assessments. We
identify implications for designing tools that enable users to moderate content
for themselves with the help of those they trust.
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