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Cited 13 time in webofscience Cited 16 time in scopus
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Who will subscribe to my streaming channel?: The case of Twitch

Authors
Kim J.Bae K.Park E.Del Pobil A.P.
Issue Date
2019
Publisher
Association for Computing Machinery
Keywords
Live streaming; Sentiment analysis; Twitch
Citation
Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, pp 247 - 251
Pages
5
Indexed
SCOPUS
Journal Title
Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Start Page
247
End Page
251
URI
https://scholarx.skku.edu/handle/2021.sw.skku/13669
DOI
10.1145/3311957.3359470
ISSN
0000-0000
Abstract
This paper investigates whether subscribers (paying viewers) can be identified by their chat messages in live streaming services, Twitch. Collecting data of twenty streamers on Twitch, this study conducts two studies: (i) presenting sentimental diferences of viewers' chat messages between unsubscribers (free viewers) and subscribers (paying viewers), and (ii) employing a set of machine learning-based classifiers which atempt to accurately identify subscribers. The results show that the machine learning-based classifiers with sentimental features provide the potentiality to identify paying viewers, suggesting their utility as a research toolkit. © 2019 Copyright held by the owner/author(s).
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