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Title: Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch
Content moderation is a crucial aspect of online platforms, and it requires human moderators (mods) to repeatedly review and remove harmful content. However, this moderation process can lead to cognitive overload and emotional labor for the mods. As new platforms and designs emerge, such as live streaming space, new challenges arise due to the real-time nature of the interactions. In this study, we examined the use of ignoring as a moderation strategy by interviewing 19 Twitch mods. Our findings indicated that ignoring involves complex cognitive processes and significant invisible labor in the decision-making process. Additionally, we found that ignoring is an essential component of real-time moderation. These preliminary findings suggest that ignoring has the potential to be a valuable moderation strategy in future interactive systems, which highlights the need to design better support for ignoring in interactive live-streaming systems.  more » « less
Award ID(s):
1928627
NSF-PAR ID:
10466936
Author(s) / Creator(s):
; ;
Publisher / Repository:
ACM
Date Published:
Page Range / eLocation ID:
1 to 7
Subject(s) / Keyword(s):
["volunteer moderator","content moderation","moderation\nstrategy","cognitive load","context moderation","live streaming","real-\ntime moderation","online community","human-computer interaction","social media"]
Format(s):
Medium: X
Location:
Hamburg Germany
Sponsoring Org:
National Science Foundation
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