Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
