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Categorizing Live Streaming Moderation Tools: An Analysis of Twitch

Jie Cai, Donghee Yvette Wohn

Source Title: International Journal of Interactive Communication Systems and Technologies (IJICST)9(2)

ISSN: 2155-4218|EISSN: 2155-4226|EISBN13: 9781522567554|DOI: 10.4018/IJICST.2019070103

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MLA

Cai, Jie, and Donghee Yvette Wohn. "Categorizing Live Streaming Moderation Tools: An Analysis of Twitch." IJICST vol.9, no.2 2019: pp.36-50. http://doi.org/10.4018/IJICST.2019070103

APA

Cai, J. & Wohn, D. Y. (2019). Categorizing Live Streaming Moderation Tools: An Analysis of Twitch. International Journal of Interactive Communication Systems and Technologies (IJICST), 9(2), 36-50. http://doi.org/10.4018/IJICST.2019070103

Chicago

Cai, Jie, and Donghee Yvette Wohn. "Categorizing Live Streaming Moderation Tools: An Analysis of Twitch," International Journal of Interactive Communication Systems and Technologies (IJICST) 9, no.2: 36-50. http://doi.org/10.4018/IJICST.2019070103

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Abstract

Twitch is one of the largest live streaming platforms and is unique from other social media in that it supports synchronous interaction and enables users to engage in moderation of the content through varied technical tools, which include auto-moderation tools provided by Twitch, third-party applications, and home-brew apps. The authors interviewed 21 moderators on Twitch and categorized the current features of real-time moderation tools they are using into four functions (chat control, content control, viewer control, settings control) and explored some new features of tools that they wish to own (e.g., grouping chat by languages, pop out window to hold messages, chat slow down, a set of buttons with pre-written/pre-message content, viewer activity tracking, all in one). Design implications provide suggestions for chatbots and algorithm design and development.

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Categorizing Live Streaming Moderation Tools: An Analysis of Twitch

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