Public Perspectives on Artificial Intelligence and Art Ethics Revealed Through Topic Modeling and Sentiment Analysis of Social Media Data

With the rapid development of artificial intelligence (AI) technology, ethical issues related to its application in art creation have gained increasing attention. Social media platforms have become important spaces for the public to discuss these topics. This paper aims to systematically analyze discussions on artificial intelligence and art ethics on social media, revealing the public’s focal points, emotional attitudes, and their dynamic changes in this field. The study uses the BERTopic model for topic clustering analysis to identify and categorize key topics related to AI and art ethics, and tracks the evolution of these topics over time. Additionally, the BERT model is applied to conduct sentiment analysis of social media texts, exploring the emotional tendencies (positive, negative, neutral) of the public toward AI and art ethics and their variations. The research seeks to uncover public perceptions and emotional responses to this emerging field, providing data-driven support for AI ethics research and offering feedback on public attitudes for relevant policymakers. This study not only contributes new empirical data to the academic research on AI and art ethics, but also provides a fresh perspective on the application of social media analysis in the social sciences.