A Browser Extension for in-place Signaling and Assessment of Misinformation
Name
3613904.3642473.pdf
Size
4.59 MB
Format
Adobe PDF
Checksum (MD5)
bce1a5443dea8005298fca8ccd18ac12
Author(s)
Jahanbakhsh, Farnaz
Karger, David R
Date Issued
May 11, 2024
Publisher
ACM
Citation
Jahanbakhsh, Farnaz and Karger, David R. 2024. "A Browser Extension for in-place Signaling and Assessment of Misinformation."
Version
Final published version
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.
Description
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems May 11–16, 2024, Honolulu, HI, USA
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3613904.3642473
