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

Jiajun Wang, Xiangzhe Yuan, Siying Hu, Zhicong Lu
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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.
人工智能绘画与人类绘画?解读公众对 TikTok 上人工智能生成的绘画的互动和看法
随着人工智能生成技术的发展,大量人工智能生成的绘画作品(AIGP)在TikTok等社交媒体上走红。例如,2022 年,由于人工智能生成模型训练中的侵权行为,全球众多画家组织了一场大规模的反人工智能运动。这一事件反映出一个社会问题,即随着生成式人工智能的发展和应用,公众对它的反馈和感受可能被忽视了。因此,为了调查公众在社交媒体上对 AIGP 的互动和看法,我们以人类绘画视频为基线,分析了用户对 AIGP 的参与程度和评论情感评分。在分析用户参与度时,我们还考虑了绘画美学质量可能产生的调节作用。利用主题建模,我们找出了导致公众对 AIGP 产生负面看法的七个原因,包括看起来太真实、看起来太吓人、矛盾等。我们的研究可以为未来的人工智能技术开发提供指导性建议,避免人类与人工智能合作中的潜在危机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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