Haq, Ehsan-Ul, Zhu, Yiming, Lin, Zijun, Weng, Haodi, Tyson, Gareth, Lee, Lik-Hang, Mogavi, Reza hadi, Braud, Tristan and Hui, Pan (2024) Understanding characteristics of catalyst users in the WallStreetBets community. In: Prakash, B. Aditya, Wang, Dong and Weninger, Tim, (eds.) Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023: ASONAM 2023. Association for Computing Machinery, New York, NY, 320 - 324. ISBN 9798400704093
Full text not available from this repository.Abstract
WallStreetBets (WSB), a Reddit community, impacted stock markets during the 2021 GameStop Short Squeeze. We examine the content and user properties that influence engagement in WSB. Despite WSB's association with emojis and informal terms, engagement among community members depends on more than surface-level factors. Although emojis are commonly used, they are not as effective at fostering interactions among users. Community members engage more with posts that have longer and topic-specific text. Simply producing a high volume of posts is not enough to attract an audience. Consistent topical focus, reciprocal interactions, and previous authorship of catalyst posts influence engagement. WSB posts, regardless of length, generally remain relevant to the community's theme of stock trading. Our findings provide insights into WSB engagement patterns and can be useful for downstream research, such as financial predictive tasks using WSB data.
| Item Type: | Book Section |
|---|---|
| Official URL: | https://dl.acm.org/doi/proceedings/10.1145/3625007 |
| Additional Information: | © 2023 ACM. |
| Divisions: | STICERD |
| Subjects: | H Social Sciences > HG Finance |
| Date Deposited: | 22 Apr 2024 13:54 |
| Last Modified: | 01 Nov 2024 05:52 |
| URI: | http://eprints.lse.ac.uk/id/eprint/122729 |
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