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The impact of bot involvement in an incentivized blockchain-based online social media platform
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Delkhosh, F., Gopal, Ram D., Patterson, R. and Yaraghi, N. (2023) The impact of bot involvement in an incentivized blockchain-based online social media platform. Journal of Management Information Systems, 40 (3). pp. 778-806. doi:10.1080/07421222.2023.2229124 ISSN 0742-1222.
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WRAP-impact-bot-involvement-incentivized-blockchain-23.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only until 23 February 2025. Contact author directly, specifying your specific needs. - Requires a PDF viewer. Download (959Kb) |
Official URL: https://doi.org/10.1080/07421222.2023.2229124
Abstract
Incentivized blockchain-based online social media (BOSM), where creators and curators of popular content are paid in cryptocurrency, have recently emerged. Traditional social media ecosystems have experienced significant bot involvement in their platforms, which has often had a negative impact on both users and platforms. BOSM can provide additional direct financial incentives as motivation for both bots’ and human users’ engagement. Using the panel vector autoregression and regression discontinuity in time framework, we analyze two distinct data sets from Steemit, the largest and most popular BOSM, to study the impact of bot engagement on human users and the impact of changes in financial reward on user engagement. Interestingly, our findings demonstrate that while increased engagement by bots is positively associated with engagement by human users, the association between bot engagement and human user engagement decreases as the number of votes for a post increases. We also find that shifts in economic incentives significantly influence the behavior of both human users and bots. This research provides significant insights on how social media platforms can leverage economic incentives to influence user behavior and, more importantly, leverage bots’ activity to increase the engagement of their human users.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Social Sciences > Warwick Business School | ||||||||
Journal or Publication Title: | Journal of Management Information Systems | ||||||||
Publisher: | Routledge | ||||||||
ISSN: | 0742-1222 | ||||||||
Official Date: | 2023 | ||||||||
Dates: |
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Volume: | 40 | ||||||||
Number: | 3 | ||||||||
Page Range: | pp. 778-806 | ||||||||
DOI: | 10.1080/07421222.2023.2229124 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Management Information Systems on 23 Aug 2023, available online: http://www.tandfonline.com/10.1080/07421222.2023.2229124 | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 24 April 2023 | ||||||||
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