Tracing the evolution of AI: conceptualization of artificial intelligence in mass media discourse. Issue 3 (17th April 2020)

• Record Type: Journal Article
• Authors: Zhai, Yujia; Yan, Jiaqi; Zhang, Hezhao; Lu, Wei
• Is Part Of: Information discovery and delivery. Volume 48:Issue 3(2020)
• Page Start: 137
• Page End: 149
• Publication Date: 2020-04-17
• Subjects: New technology -- Artificial intelligence -- Mass media -- News coverage -- Public perception -- Conceptualization; Information retrieval -- Periodicals; Document delivery -- Periodicals; Digital libraries -- Periodicals; Information storage and retrieval systems -- Periodicals; 025.524
• DOI: 10.1108/IDD-01-2020-0007
• Languages: English
• ISSNs: 2398-6247

Abstract

Abstract : Purpose: This study/paper aims to understand the public perceptions of AI through mass media discourse. In the past few years, significant progress has been made in the field of artificial intelligence (AI). The benefits of AI are obvious, but there is still huge uncertainty and controversy over the public perception of AI. How does the mass media conceptualize AI? Design/methodology/approach: In this paper, the authors analyze the evolution of AI covered by five major news media outlets in the past 30 years from 7 dimensions: scientific subject, keyword, country, institution, people, topic and opinion polarity. Findings: First of all, different subjects are competing for and dividing up the right to speak of AI, leading to the gradual fragmentation of the concept of AI. Second, reporting on AI often includes reference to commercial institutions and scientists, showing a successful integration of science and business. Moreover, the result of topic modeling shows that news media mainly defines AI from three perspectives: an imagination, a commercial product and a field of scientific research. Finally, negative reports have focused on various issues relating to AI ethics. Originality/value: The results can help bridge various conversations surrounding AI and promote richer discussions, increase the participation of scientists, businesses, governments and the public and provide more perspectives on the functions, prospects and pitfalls of AI.