Framing artificial intelligence in American newspapers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Publics' perceptions of new scientific advances such as AI are often informed and influenced by news coverage. To understand how artificial intelligence (AI) was framed in U.S. newspapers, a content analysis based on framing theory in journalism and science communication was conducted. This study identified the dominant topics and frames, as well as the risks and benefits of AI covered in five major American newspapers from 2009 to 2018. Results indicated that business and technology were the primary topics in news coverage of AI. The benefits of AI were discussed more frequently than its risks, but risks of AI were generally discussed with greater specificity. Additionally, episodic issue framing and societal impact framing were more frequently used.

Original languageEnglish (US)
Title of host publicationAIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
PublisherAssociation for Computing Machinery, Inc
Pages339-344
Number of pages6
ISBN (Electronic)9781450363242
DOIs
StatePublished - Jan 27 2019
Event2nd AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019 - Honolulu, United States
Duration: Jan 27 2019Jan 28 2019

Publication series

NameAIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society

Conference

Conference2nd AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019
CountryUnited States
CityHonolulu
Period1/27/191/28/19

Keywords

  • Artiicial intelligence
  • Content analysis
  • News framing
  • Public perception

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Chuan, C. H., Tsai, W. H. S., & Cho, S. Y. (2019). Framing artificial intelligence in American newspapers. In AIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (pp. 339-344). (AIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society). Association for Computing Machinery, Inc. https://doi.org/10.1145/3306618.3314285