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AI vs. Human Paintings? Deciphering Public Interactions and Perceptions Towards AI-Generated Paintings on TikTok

  • Jiajun Wang (Co-first Author)
  • , Xiangzhe Yuan (Co-first Author)
  • , Siying Hu
  • , Zhicong Lu*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

With the rise of generative AI, AI-generated paintings (AIGP) have gone viral on platforms like TikTok, but also sparked controversy. In 2022, global artists protested against AI models for infringing on their works during training, highlighting overlooked public concerns. Therefore, to investigate public interactions and perceptions towards AIGP on social media, we analyzed user engagement level and comment sentiment scores of AIGP using human painting videos as a baseline. In analyzing user engagement, we also considered the possible moderating effect of the aesthetic quality of Paintings. Topic modeling revealed seven key reasons for negative perceptions, such as hyperrealistic effects, ambivalent reactions, and perceived art theft. Our work may provide instructive suggestions for future generative AI technology development and avoid potential crises in human-AI collaboration. © 2025 Taylor & Francis Group, LLC.
Original languageEnglish
Pages (from-to)3307-3330
Number of pages24
JournalInternational Journal of Human-Computer Interaction
Volume42
Issue number5
Online published31 Jul 2025
DOIs
Publication statusPublished - 2026

Funding

This research was supported by the 2021 CCF-Tencent Rhino-Bird Research Fund, the Research Matching Grant Scheme (RMGS), under [Grants Number 9229095]; and Chow Sang Sang, the Research Matching Grant Scheme(RMGS), under [Grants Number 9229164]

Research Keywords

  • AI-generated images
  • comment sentiment
  • image aesthetic quality assessment
  • social media
  • user engagement

RGC Funding Information

  • RGC-funded

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