Affiliation:
1. The Hong Kong University of Science and Technology, Hong Kong, China
2. The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Abstract
Online fandom communities (OFCs) provide a convenient space for fans to create, collect, and discuss the content of their mutual interest (e.g., music artists). Real-world events could frequently attract outsiders to join OFCs, providing both the opportunity to expand the fan base and challenges to manage the community. However, it is unclear that how influxes of newcomers would influence the development of OFCs and what user behaviors may be correlated with their future engagement. To fill this gap, we took the music OFCs as the focus, and quantitatively analyzed user behaviors and their correlations with users' future engagement in the community. Results suggested that 1) event-induced newcomers expressed more hate speech and negative sentiment, praised less celebrity-related content (e.g., song, album), and interacted with narrower cohorts than existing members; 2) Although existing members tended to receive more upvotes during the events than before and after the events, newcomers showed an opposite trend; 3) keeping users' activeness, expressing positive sentiments, and having diverse interactions during periods of influx were helpful when maintaining members' future levels of engagement. This work deepened the understanding of fan behaviors in the dynamic period, and we discussed how our insights could benefit OFCs.
Funder
ASPIRE League Partnership Seed Fund
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)
Reference91 articles.
1. Investigating Toxicity Across Multiple Reddit Communities, Users, and Moderators
2. Are These Comments Triggering? Predicting Triggers of Toxicity in Online Discussions
3. Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science
4. The Pushshift Reddit Dataset
5. Hila Becker , Mor Naaman , and Luis Gravano . 2011 . Beyond trending topics: Real-world event identification on twitter . Proceedings of the International AAAI Conference on Web and Social Media , Vol. 5 , 1 (2011), 438--441. Hila Becker, Mor Naaman, and Luis Gravano. 2011. Beyond trending topics: Real-world event identification on twitter. Proceedings of the International AAAI Conference on Web and Social Media, Vol. 5, 1 (2011), 438--441.
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