AI agency vs. human agency: Understanding human-AI interactions on TikTok and their implications for user engagement

Hyunjin Kang*, Chen Lou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

99 Citations (Scopus)

Abstract

Artificial intelligence (AI) technology has vastly reshaped user experiences on social media. AI-powered social media use and its outcomes largely depend on how users collaborate with AI that exercises agency. Through in-depth interviews with TikTok users, this study investigates how users collaborate with AI when using AI-powered social media and how such dynamics shape user engagement. We found that TikTok users are receptive to personalized experiences enabled by machine agency. However, by influencing each other, user agency and machine agency also led to user-AI synergy. Users deliberately influence content curation algorithms to make them cater more precisely to their needs; AI also facilitates users' content creation and networking. Such AI-user collaboration on TikTok significantly influences medium engagement and social-interactive engagement. These findings advance our understanding of the dynamics between human agency and machine agency and, thus, how AI transforms user experiences on social media.

Original languageEnglish
Article numberzmac014
JournalJournal of Computer-Mediated Communication
Volume27
Issue number5
DOIs
Publication statusPublished - Sept 1 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of International Communication Association.

ASJC Scopus Subject Areas

  • Communication

Keywords

  • artificial intelligence
  • human-machine communication
  • machine agency
  • social media
  • TikTok
  • user agency
  • user engagement

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