{"title":"AI paintings vs. Human Paintings? Deciphering Public Interactions and Perceptions towards AI-Generated Paintings on TikTok","authors":"Jiajun Wang, Xiangzhe Yuan, Siying Hu, Zhicong Lu","doi":"arxiv-2409.11911","DOIUrl":null,"url":null,"abstract":"With the development of generative AI technology, a vast array of\nAI-generated paintings (AIGP) have gone viral on social media like TikTok.\nHowever, some negative news about AIGP has also emerged. For example, in 2022,\nnumerous painters worldwide organized a large-scale anti-AI movement because of\nthe infringement in generative AI model training. This event reflected a social\nissue that, with the development and application of generative AI, public\nfeedback and feelings towards it may have been overlooked. Therefore, to\ninvestigate public interactions and perceptions towards AIGP on social media,\nwe analyzed user engagement level and comment sentiment scores of AIGP using\nhuman painting videos as a baseline. In analyzing user engagement, we also\nconsidered the possible moderating effect of the aesthetic quality of\nPaintings. Utilizing topic modeling, we identified seven reasons, including\nlooks too real, looks too scary, ambivalence, etc., leading to negative public\nperceptions of AIGP. Our work may provide instructive suggestions for future\ngenerative AI technology development and avoid potential crises in human-AI\ncollaboration.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the development of generative AI technology, a vast array of
AI-generated paintings (AIGP) have gone viral on social media like TikTok.
However, some negative news about AIGP has also emerged. For example, in 2022,
numerous painters worldwide organized a large-scale anti-AI movement because of
the infringement in generative AI model training. This event reflected a social
issue that, with the development and application of generative AI, public
feedback and feelings towards it may have been overlooked. 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. Utilizing topic modeling, we identified seven reasons, including
looks too real, looks too scary, ambivalence, etc., leading to negative public
perceptions of AIGP. Our work may provide instructive suggestions for future
generative AI technology development and avoid potential crises in human-AI
collaboration.