Chat Speed OP PogChamp: Practices of Coherence in Massive Twitch Chat
summary
Compares Hearthstone Twitch chats with >10,000 viewers vs <2,000 using 300+ observation hours and 22 fifty-message segments, finds message rates over 150/min and per-segment unique lexical items cut roughly in half, arguing large chats maintain coherence via crowdspeak: shorter lexical messages, heavy bricolage and reuse, repeated emotes and copy pastas, and reduced voices-to-participants ratio (fewer distinct stances per user). Method mixes quantitative counts of lexical items and qualitative examples; claim: scale changes form, not meaning.
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chapters (11)
- 0:00Introduction to research
- 1:49What is crowd speak
- 3:54Research methods and data
- 5:19Finding one shorthanding
- 6:21Finding two bricolage
- 8:51Finding three voice taking
- 11:37Conclusion on coherence
- 12:41Role of the streamer
- 14:51Voice evolution in chat
- 15:52Q&A on health and belonging
- 17:16Applicability to other domains
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