@inproceedings{hamalainen-etal-2024-analyzing,
title = "Analyzing Pok{\'e}mon and Mario Streamers{'} Twitch Chat with {LLM}-based User Embeddings",
author = {H{\"a}m{\"a}l{\"a}inen, Mika and
Rueter, Jack and
Alnajjar, Khalid},
editor = {H{\"a}m{\"a}l{\"a}inen, Mika and
{\"O}hman, Emily and
Miyagawa, So and
Alnajjar, Khalid and
Bizzoni, Yuri},
booktitle = "Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities",
month = nov,
year = "2024",
address = "Miami, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.nlp4dh-1.48",
pages = "499--503",
abstract = "We present a novel digital humanities method for representing our Twitch chatters as user embeddings created by a large language model (LLM). We cluster these embeddings automatically using affinity propagation and further narrow this clustering down through manual analysis. We analyze the chat of one stream by each Twitch streamer: SmallAnt, DougDoug and PointCrow. Our findings suggest that each streamer has their own type of chatters, however two categories emerge for all of the streamers: supportive viewers and emoji and reaction senders. Repetitive message spammers is a shared chatter category for two of the streamers.",
}
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%0 Conference Proceedings
%T Analyzing Pokémon and Mario Streamers’ Twitch Chat with LLM-based User Embeddings
%A Hämäläinen, Mika
%A Rueter, Jack
%A Alnajjar, Khalid
%Y Hämäläinen, Mika
%Y Öhman, Emily
%Y Miyagawa, So
%Y Alnajjar, Khalid
%Y Bizzoni, Yuri
%S Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, USA
%F hamalainen-etal-2024-analyzing
%X We present a novel digital humanities method for representing our Twitch chatters as user embeddings created by a large language model (LLM). We cluster these embeddings automatically using affinity propagation and further narrow this clustering down through manual analysis. We analyze the chat of one stream by each Twitch streamer: SmallAnt, DougDoug and PointCrow. Our findings suggest that each streamer has their own type of chatters, however two categories emerge for all of the streamers: supportive viewers and emoji and reaction senders. Repetitive message spammers is a shared chatter category for two of the streamers.
%U https://aclanthology.org/2024.nlp4dh-1.48
%P 499-503
Markdown (Informal)
[Analyzing Pokémon and Mario Streamers’ Twitch Chat with LLM-based User Embeddings](https://aclanthology.org/2024.nlp4dh-1.48) (Hämäläinen et al., NLP4DH 2024)
ACL