AI agency vs. human agency: understanding human–AI
interactions on TikTok and their implications for user
engagement

Dublin Core

Title

AI agency vs. human agency: understanding human–AI
interactions on TikTok and their implications for user
engagement

Subject

TikTok, social media, human–machine communication, artificial intelligence, machine agency, user agency, user engagement

Description

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.

Creator

Hyunjin Kang ,Chen Lou

Source

https://doi.org/10.1093/jcmc/zmac014

Publisher

Oxford University Press on behalf of International Communication Association.

Date

15 July 2022

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Collection

Citation

Hyunjin Kang ,Chen Lou, “AI agency vs. human agency: understanding human–AI
interactions on TikTok and their implications for user
engagement,” Repository Horizon University Indonesia, accessed May 19, 2025, https://repository.horizon.ac.id/items/show/8631.