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PRODID;X-RICAL-TZSOURCE=TZINFO:-//com.denhaven2/NONSGML ri_cal gem//EN
CALSCALE:GREGORIAN
VERSION:2.0
BEGIN:VEVENT
DTEND;VALUE=DATE-TIME:20261119T163000Z
DTSTART;VALUE=DATE-TIME:20261119T153000Z
DTSTAMP;VALUE=DATE-TIME:20261113T133122Z
UID:7ab587ce-b216-40e2-848b-2398d51ec25c@talks.stuts.de
DESCRIPTION:Live-streaming platforms such as Twitch are central meeting h
 ubs for young people\, and their chats are dominated by emotes\, small i
 mages posted alongside or instead of words. Emotes help build shared rep
 ertoires and community identity\, but they can also carry or mask toxic 
 content. Whether an emote counts as toxic depends on the norms of the co
 mmunity using it (Mihailova\, 2022). However\, research has mostly exami
 ned single communities\, so it remains unclear what happens when communi
 ties with different norms meet in one chat.\n\nThis study asks whether t
 oxic emote practices travel across community boundaries. I analysed a co
 llaborative stream in which Jynxzi\, one of Twitch’s most-followed gamin
 g streamers\, visits Maya Higa’s educational Alveus Sanctuary\, and comp
 ared its chat with one solo stream from each creator (216\,086 messages 
 total). Using Emotes-2-Vec (Moosavi et al.\, 2024)\, a Word2Vec-based me
 thod that infers emote meaning from context\, I scored each emote by its
  similarity to toxic versus non-toxic words. I then compared mean emote 
 toxicity and the share of toxic-leaning uses across streams using Kruska
 l-Wallis\, Mann-Whitney U\, and chi-square tests.\n\nThe findings were a
 s follows: Jynxzi’s chat used more toxic-leaning emotes (82.1%) than May
 a’s (60.0%). Contrary to my hypothesis\, the collab stream (79.5%) was n
 early indistinguishable from Jynxzi’s solo stream rather than adapting t
 o Maya’s\, although channel-specific ridicule emotes largely disappeared
 . The most toxic-leaning emotes were not slurs but reaction and laughter
  emotes (e.g.\, LOL\, BRUH) appearing next to insults\, consistent with 
 ambiguous negativity. Effect sizes were small\, so I interpret the resul
 ts as tendencies rather than firm differences between communities.\n\nIn
  conclusion\, emote norms travel with a community rather than being set 
 by the space it enters. This is of vital importance for creators who hos
 t collaborations and may shape what young viewers learn is acceptable in
 teraction online.
URL:https://talks.stuts.de/en/stuts80/public/events/1614
SUMMARY:"W chat or L chat?" Measuring Emote Toxicity Across Twitch Commun
 ities
ORGANIZER:stuts80
LOCATION:stuts80 - Atrium (Philosophikum)
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