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A Decision-Making Model for Adopting Al-Generated News Articles: Preliminary Results

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  • Soyoung Kim

    (Seoul Business School, Seoul School of Integrated Sciences and Technologies (aSSIST), Seoul 03767, Korea)

  • Boyoung Kim

    (Seoul Business School, Seoul School of Integrated Sciences and Technologies (aSSIST), Seoul 03767, Korea)

Abstract

This study was conducted to present a consumer acceptance model for artificial intelligence (AI)-generated news articles in review of the most significant factors in the context of accepting AI-generated news articles. To this end, a survey was conducted regarding five key factors among individuals handling news production at media organizations who were familiar with AI-related news: benefits of technology utilization, recognized values, media reliability, content quality, and information perception. These factors were classified into 19 specific evaluation items in order to determine relative importance. According to the results of pairwise comparison analysis among elements through the analytic hierarchy process, hereunder referred to as AHP (analytic hierarchy process), it turned out that the importance of media reliability and content levels was relatively high, while the importance of recognized values and information perception was relatively low. It also turned out that among 19 specific items, the importance of institutional reliability, which was a subordinate item under media reliability, was of utmost value. Even if news articles were based on AI technology, their readers were more likely to be affected by reliability, which is a major attribute of journalism, than technical factors.

Suggested Citation

  • Soyoung Kim & Boyoung Kim, 2020. "A Decision-Making Model for Adopting Al-Generated News Articles: Preliminary Results," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7418-:d:411205
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    References listed on IDEAS

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    1. Juin-Hao Ho & Gwo-Guang Lee & Ming-Tsang Lu, 2020. "Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    2. Hafeez, Khalid & Zhang, YanBing & Malak, Naila, 2002. "Determining key capabilities of a firm using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 76(1), pages 39-51, March.
    3. Ruomeng Cui & Santiago Gallino & Antonio Moreno & Dennis J. Zhang, 2018. "The Operational Value of Social Media Information," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1749-1769, October.
    4. Eric W. Stein & Vladimir Zwass, 1995. "Actualizing Organizational Memory with Information Systems," Information Systems Research, INFORMS, vol. 6(2), pages 85-117, June.
    5. Jimmy Chan & Wing Suen, 2008. "A Spatial Theory of News Consumption and Electoral Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 699-728.
    6. Johnson, Jennifer Wiggins & Rapp, Adam, 2010. "A more comprehensive understanding and measure of customer helping behavior," Journal of Business Research, Elsevier, vol. 63(8), pages 787-792, August.
    7. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    8. Hong Joo Lee & Hoyeon Oh, 2020. "A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
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    1. Yunju Kim & Heejun Lee, 2021. "Towards a Sustainable News Business: Understanding Readers’ Perceptions of Algorithm-Generated News Based on Cultural Conditioning," Sustainability, MDPI, vol. 13(7), pages 1-14, March.

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