Gaming Sentiment: The Relationship of Comment Sentiment and Subscriber Growth Rate
DOI:
https://doi.org/10.47611/jsrhs.v10i2.1722Keywords:
Sentiment Analysis, YouTube, Comments, Gaming, ChannelsAbstract
The following research paper explores the potential relationship between comment sentiment and subscriber growth rate on YouTube gaming channels. This study aims to discover if the effect that YouTube comments have on users’ perceptiveness of video content extends to their decision in subscribing to those channels. A sentiment analysis was utilized using Python programming in order to derive the data from various YouTube comment sections. This was compared with the monthly subscriber growth of each channel studied. Results indicate that there is no correlation between comment sentiment and subscriber growth rate for YouTube gaming channels. This implies that gaming content creators should not be wary of the positive or negative comments within their video comment threads and should focus on other areas to grow their channel. However, further research is required in order to verify the results of this study.
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API reference | Youtube Data API | Google developers. (n.d.). Retrieved February 14, 2021, from
https://developers.google.com/youtube/v3/docs
Asadi, A. R., & Hemadi, R. (2018, November). Understanding Virtual Currencies in Video
Games: A Review. In 2018 2nd National and 1st International Digital Games Research
Conference: Trends, Technologies, and Applications (DGRC) (pp. 109-117). IEEE.
Becker, L. A. (2000). Effect size (ES).
Choi, S., & Segev, A. (2020). Finding informative comments for video viewing. SN Computer
Science, 1(1), 47.
Das, A. (2017, July). Sentiment analysis. In 2017 8th International Conference on Computing,
Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
Ferrari, S. (2013, August). From Generative to Conventional Play: MOBA and League of
Legends. In DiGRA Conference (pp. 1-17).
Hoiles, W., Krishnamurthy, V., & Pattanayak, K. (2020). Rationally inattentive inverse
reinforcement learning explains youtube commenting behavior. Journal of Machine
Learning Research, 21(170), 1-39.
Hutto, C., & Gilbert, E. (2014, May). Vader: A parsimonious rule-based model for sentiment
analysis of social media text. In Proceedings of the International AAAI Conference on
Web and Social Media (Vol. 8, No. 1).
Krishna, A., Zambreno, J., & Krishnan, S. (2013, December). Polarity trend analysis of public
sentiment on youtube. In Proceedings of the 19th international conference on
management of data (pp. 125-128).
PewDiePie's YouTube Stats (Summary Profile) - Social Blade Stats. Retrieved December 18,
, from https://socialblade.com/youtube/user/pewdiepie
Postigo, H. (2016). The socio-technical architecture of digital labor: Converting play into
YouTube money. New media & society, 18(2), 332-349.
Reis, J. M. G. B. (2020). Sentiment analysis: the case of twitch chat-Mining user feedback from
livestream chats (Doctoral dissertation).
Schultes, P., Dorner, V., & Lehner, F. (2013). Leave a Comment! An In-Depth Analysis of User
Comments on YouTube. Wirtschaftsinformatik, 42, 659-673.
Short, D. (2012). Teaching scientific concepts using a virtual world: Minecraft. Teaching science,
(3), 55-58.
Siersdorfer, S., Chelaru, S., Nejdl, W., & San Pedro, J. (2010, April). How useful are your
comments? Analyzing and predicting YouTube comments and comment ratings. In
Proceedings of the 19th international conference on World wide web (pp. 891-900).
Tan, L., Ng, S. H., Omar, A., & Karupaiah, T. (2018). What's on YouTube? A case study on food
and beverage advertising in videos targeted at children on social media. Childhood
Obesity, 14(5), 280-290.
Tereshchenko, S. (2019). VIDEO GAMES SLANG. ΛΌГOΣ. МИСТЕЦТВО НАУКОВОЇ
ДУМКИ, (4), 145-147.
YouTube. (2020, December 21). YouTube for Press. Retrieved December 21, 2020, from
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