Title
Contestability For Content Moderation
Abstract
AbstractContent moderation systems for social media have had numerous issues of bias, in terms of race, gender, and ability among many others. One proposal for addressing such issues in automated decision making is by designing for contestability, whereby users can shape and influence how decisions are made. In this study, we conduct a series of participatory design workshops with participants from communities that have experienced problems with social media content moderation in the past. Together with participants, we explore the idea of designing for contestability in content moderation and find that users' designs suggest three fruitful, practical avenues: adding representation, improving communication, and designing with compassion. We conclude with design recommendations drawn from participants' proposals, and reflect on the challenges that remain.
Year
DOI
Venue
2021
10.1145/3476059
Proceedings of the ACM on Human-Computer Interaction
DocType
Volume
Issue
Conference
5
CSCW2
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Kristen Vaccaro100.34
Ziang Xiao233.57
Kevin Hamilton300.34
Karrie Karahalios433.74