Affiliation:
1. Wee Kim Wee School of Communication and Information, Nanyang Technological University , Singapore
Abstract
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.
Funder
Ministry of Education, Singapore and Special Teaching and Research
Publisher
Oxford University Press (OUP)
Subject
Computer Networks and Communications,Computer Science Applications
Reference71 articles.
1. The personalization-privacy paradox: Implications for new media;Aguirre;Journal of Consumer Marketing,2016
2. A tale of four platforms: Motivations and uses of Facebook, Twitter, Instagram, and Snapchat among college students?;Alhabash;Social Media and Society,2017
3. Exercise of human agency through collective efficacy;Bandura;Current Directions in Psychological Science,2000
4. The social power of algorithms;Beer;Information, Communication & Society,2017
Cited by
56 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献