全球新闻中生成式人工智能的图景：主题、情感与时空分析
Landscape of Generative AI in Global News: Topics, Sentiments, and Spatiotemporal Analysis
AI总结：
本文基于2018至2023年全球新闻数据，结合BERTopic主题建模与RoBERTa-base情感分析，揭示生成式人工智能报道的主题、情感和时空分布规律，为分析新兴技术新闻话语提供框架。
摘要：
生成式人工智能已展现出变革各行各业和公共生活的巨大潜力。新闻媒体对生成式人工智能的报道在塑造公众对这一重大技术创新的认知和判断方面发挥着关键作用。本文围绕最新新兴技术——生成式人工智能，对全球新闻覆盖中主题、情感和实质性议题的时间与空间分布进行了深入分析，并提供了丰富见解。我们收集了一个全面的新闻文章数据集（2018年1月至2023年11月，N = 24,827）。在主题建模方面，我们采用BERTopic技术，并结合定性编码来识别语义主题。随后，使用RoBERTa-base模型进行情感分析。对数据中时间模式的分析揭示了关键主题——商业、企业技术发展、监管与安全以及教育——在报道覆盖上存在显著波动，文章数量的激增与重大人工智能进展和政策讨论相吻合。情感分析显示，媒体立场以中性至正面为主，其中商业相关文章表现出更积极的情感，而监管与安全类文章则受到保留的、中性至负面的情感评价。我们的研究为考察全球新闻话语以及评估与新兴技术相关的新闻态度和主题提供了一个有价值的框架。
英文摘要：
Generative AI has exhibited considerable potential to transform various industries and public life. The role of news media coverage of generative AI is pivotal in shaping public perceptions and judgments about this significant technological innovation. This paper provides in-depth analysis and rich insights into the temporal and spatial distribution of topics, sentiment, and substantive themes within global news coverage focusing on the latest emerging technology --generative AI. We collected a comprehensive dataset of news articles (January 2018 to November 2023, N = 24,827). For topic modeling, we employed the BERTopic technique and combined it with qualitative coding to identify semantic themes. Subsequently, sentiment analysis was conducted using the RoBERTa-base model. Analysis of temporal patterns in the data reveals notable variability in coverage across key topics--business, corporate technological development, regulation and security, and education--with spikes in articles coinciding with major AI developments and policy discussions. Sentiment analysis shows a predominantly neutral to positive media stance, with the business-related articles exhibiting more positive sentiment, while regulation and security articles receive a reserved, neutral to negative sentiment. Our study offers a valuable framework to investigate global news discourse and evaluate news attitudes and themes related to emerging technologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
