TY - GEN
T1 - Framing artificial intelligence in American newspapers
AU - Chuan, Ching Hua
AU - Tsai, Wan Hsiu Sunny
AU - Cho, Su Yeon
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/1/27
Y1 - 2019/1/27
N2 - 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.
AB - 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.
KW - Artiicial intelligence
KW - Content analysis
KW - News framing
KW - Public perception
UR - http://www.scopus.com/inward/record.url?scp=85070612243&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070612243&partnerID=8YFLogxK
U2 - 10.1145/3306618.3314285
DO - 10.1145/3306618.3314285
M3 - Conference contribution
AN - SCOPUS:85070612243
T3 - AIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
SP - 339
EP - 344
BT - AIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
PB - Association for Computing Machinery, Inc
T2 - 2nd AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019
Y2 - 27 January 2019 through 28 January 2019
ER -