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Is Social Bot Socializing? Evidence from a Microblogging Platform

  • Yang Gao
  • , Maggie Mengqing Zhang
  • , Mikhail Lysyakov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Leveraging advancements in large language models, social media platforms are deploying sophisticated chatbots, termed social bots, with the potential to stimulate user interaction. However, concerns linger regarding the socializing value of these bots in public settings. We investigate this phenomenon using the data from the launch of CommentRobot on a microblogging platform. Analyzing user interactions with this platform-owned bot, we find that posts receiving bot-generated comments experience increased user engagement, indicating the socializing value of social bots at the post level. Our findings suggest that the quality of bot-generated comments significantly influences user engagement. Moreover, we uncover heterogeneous effects of bot comments across different post- and user-level characteristics. Despite the positive impact on post-level engagement, we find no significant effects on users' future posting behavior, contrary to platform expectations. This study contributes to the literature on social bots and underscores the need for nuanced bot interaction strategies in social media.

Original languageEnglish (US)
Title of host publication45th International Conference on Information Systems, ICIS 2024
PublisherAssociation for Information Systems
ISBN (Electronic)9781958200131
DOIs
StatePublished - 2024
Event45th International Conference on Information Systems, ICIS 2024 - Bangkok, Thailand
Duration: Dec 15 2024Dec 18 2024

Conference

Conference45th International Conference on Information Systems, ICIS 2024
Country/TerritoryThailand
CityBangkok
Period12/15/2412/18/24

Keywords

  • AI
  • CASA
  • LLM
  • chatbot
  • social bot
  • social media

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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