Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch

Na Li; Jie Cai; Donghee Yvette Wohn

doi:10.1145/3544549.3585704

Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch

Na Li, Jie Cai, Donghee Yvette Wohn

Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450394222
DOIs	https://doi.org/10.1145/3544549.3585704
State	Published - Apr 19 2023
Event	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: Apr 23 2023 → Apr 28 2023

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/Territory	Germany
City	Hamburg
Period	4/23/23 → 4/28/23

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Keywords

cognitive load
content moderation
context moderation
ignoring
live streaming
moderation strategy
real-time moderation
volunteer moderator

Access to Document

10.1145/3544549.3585704

Cite this

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title = "Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch",

abstract = "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.",

keywords = "cognitive load, content moderation, context moderation, ignoring, live streaming, moderation strategy, real-time moderation, volunteer moderator",

author = "Na Li and Jie Cai and Wohn, {Donghee Yvette}",

note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

year = "2023",

month = apr,

day = "19",

doi = "10.1145/3544549.3585704",

language = "English (US)",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

booktitle = "CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems",

}

Li, N, Cai, J & Wohn, DY 2023, Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch. in CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 169, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, 4/23/23. https://doi.org/10.1145/3544549.3585704

Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch. / Li, Na; Cai, Jie; Wohn, Donghee Yvette.
CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. 169 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch

AU - Li, Na

AU - Cai, Jie

AU - Wohn, Donghee Yvette

PY - 2023/4/19

Y1 - 2023/4/19

N2 - 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.

AB - 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.

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KW - content moderation

KW - context moderation

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KW - live streaming

KW - moderation strategy

KW - real-time moderation

KW - volunteer moderator

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Ignoring As a Moderation Strategy for Volunteer Moderators on Twitch

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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