Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries
Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X., Zhang, and Michael S. Bernstein

TL;DR
This study compares how users perceive the legitimacy of different content moderation processes on social media, finding that expert panels are viewed more favorably than algorithms or juries, with outcome agreement strongly influencing legitimacy.
Contribution
It provides empirical evidence on perceived legitimacy of moderation processes, highlighting the importance of expert oversight and outcome agreement in shaping user perceptions.
Findings
Expert panels have higher perceived legitimacy than algorithms or juries.
Outcome agreement significantly influences perceived legitimacy.
Juries are perceived as legitimate due to democratic representation.
Abstract
While research continues to investigate and improve the accuracy, fairness, and normative appropriateness of content moderation processes on large social media platforms, even the best process cannot be effective if users reject its authority as illegitimate. We present a survey experiment comparing the perceived institutional legitimacy of four popular content moderation processes. We conducted a within-subjects experiment in which we showed US Facebook users moderation decisions and randomized the description of whether those decisions were made by paid contractors, algorithms, expert panels, or juries of users. Prior work suggests that juries will have the highest perceived legitimacy due to the benefits of judicial independence and democratic representation. However, expert panels had greater perceived legitimacy than algorithms or juries. Moreover, outcome alignment - agreement…
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