反乌托邦
报纸
框架(结构)
自动化
潜在Dirichlet分配
数据科学
计算机科学
社会学
人工智能
媒体研究
主题模型
工程类
机械工程
结构工程
作者
Hannes Cools,Baldwin Van Gorp,Michaël Opgenhaffen
标识
DOI:10.1177/14648849221122647
摘要
Over the last 60 years, media outlets have been covering emerging technologies like artificial intelligence (AI) and automation. This countrylevel study wants to give a nuanced overview of how these technologies were covered in US newspapers. First, a Latent Dirichlet allocation (LDA) topic modeling was conducted on articles on AI and automation in The New York Times and The Washington Post between 1985 and 2020. Second, an inductive manual framing analysis was conducted to distinguish the frames that both newspapers applied over time. Results from the topic modeling show that articles on AI and automation are most prominent within ‘Work’, ‘Art’, and ‘Education’. Concerning the manual framing analysis, the coverage has been more optimistic than pessimistic over time. However, when dystopian frames are considered, the results show that there has been more attention in the corpus on the impact of AI and automation on ethical conundrums involved with these technologies.
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