AI vs. Human Paintings? Deciphering Public Interactions and Perceptions Towards AI-Generated Paintings on TikTok.
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| Title: | AI vs. Human Paintings? Deciphering Public Interactions and Perceptions Towards AI-Generated Paintings on TikTok. |
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| Authors: | Wang, Jiajun (AUTHOR), Yuan, Xiangzhe (AUTHOR), Hu, Siying (AUTHOR), Lu, Zhicong (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Mar2026, Vol. 42 Issue 5, p3307-3330. 24p. |
| Subjects: | TikTok (Web resource), Human-artificial intelligence interaction, Audience participation, Aesthetics, Computer art, Art thefts, Public opinion |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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