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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- Appears in
Collections - Graduate School > Interaction Science > 1. Journal Articles
- Computing and Informatics > Convergence > 1. Journal Articles

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