Moderation Challenges in Voice-based Online Communities on Discord
Jialun Aaron Jiang, Charles Kiene, Skyler Middler, Jed R. Brubaker,, Casey Fiesler

TL;DR
This paper explores the unique moderation challenges in real-time voice-based online communities on Discord, highlighting new issues, strategies, and implications for platform design.
Contribution
It provides an in-depth qualitative analysis of moderation practices and challenges specific to voice communication, a less-studied area in online community moderation.
Findings
Voice affordances change moderation dynamics.
Evidence collection is more difficult due to ephemerality.
Moderation strategies are limited and often based on first impressions.
Abstract
Online community moderators are on the front lines of combating problems like hate speech and harassment, but new modes of interaction can introduce unexpected challenges. In this paper, we consider moderation practices and challenges in the context of real-time, voice-based communication through 25 in-depth interviews with moderators on Discord. Our findings suggest that the affordances of voice-based online communities change what it means to moderate content and interactions. Not only are there new ways to break rules that moderators of text-based communities find unfamiliar, such as disruptive noise and voice raiding, but acquiring evidence of rule-breaking behaviors is also more difficult due to the ephemerality of real-time voice. While moderators have developed new moderation strategies, these strategies are limited and often based on hearsay and first impressions, resulting in…
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