@inproceedings{3bc328cbb4014efa86aefb7631353480,
title = "Who will subscribe to my streaming channel?: The case of Twitch",
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.",
keywords = "Live streaming, Sentiment analysis, Twitch",
author = "Jina Kim and Kunwoo Bae and Eunil Park and \{Del Pobil\}, \{Angel P.\}",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s).; 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019, CSCW 2019 Companion ; Conference date: 09-11-2019 Through 13-11-2019",
year = "2019",
month = nov,
day = "9",
doi = "10.1145/3311957.3359470",
language = "English",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "247--251",
booktitle = "CSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing",
}