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Newspaper companies' determinants in adopting robot journalism

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  • Kim, Daewon
  • Kim, Seongcheol

Abstract

This study sought to identify the determinants of chief officers of newspapers in introducing robot journalism into newsrooms. Analytic hierarchy process was employed as a methodology, and data to be analysed were obtained from 42 surveys on chief officers from 24 different newspaper companies. According to the results, a prospected business performance brought about by the introduction of robot journalism and news consumers' willingness to read robot-written news stories are top concerns among the criteria for the consideration of whether newspaper companies plan to introduce robot journalism or not. On the other hand, journalists' attitude towards robot journalism is behind considerations for business performance and changes of external market environment. Decision-makers in newspaper companies seemed to be insensitive to sunken costs with regard to the introduction of robot journalism. In terms of alternatives, a decrease in the number of human journalists after the adoption of robot-writers is most likely to be selected as an employment strategy by newspaper companies. The fall in the number of human journalists after adopting robots is most likely to be selected as an employment strategy.

Suggested Citation

  • Kim, Daewon & Kim, Seongcheol, 2017. "Newspaper companies' determinants in adopting robot journalism," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 184-195.
    • Handle: RePEc:eee:tefoso:v:117:y:2017:i:c:p:184-195
    DOI: 10.1016/j.techfore.2016.12.002
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    Cited by:

    1. Jang, Yumi & Kim, Seongcheol, 2024. "A decision model for OTT service users to adopt wireless D2D caching networks: Exploring the Korean case," Telecommunications Policy, Elsevier, vol. 48(7).
    2. Hwang, ShinYoung, 2021. "The impact of Google's in-app commission fee changes on the local app ecosystem: A case study of Korea," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238030, International Telecommunications Society (ITS).
    3. Moravec, Vaclav & Hynek, Nik & Skare, Marinko & Gavurova, Beata & Kubak, Matus, 2024. "Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    4. Arvind Ashta, 2017. "Work-sharing from Different Angles: A literature review," Working Papers CEB 17-033, ULB -- Universite Libre de Bruxelles.
    5. Kim, Daewon & Kim, Suwon, 2021. "A model for user acceptance of robot journalism: Influence of positive disconfirmation and uncertainty avoidance," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    6. 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.
    7. Ding, Bin & Li, Yameng & Miah, Shah & Liu, Wei, 2024. "Customer acceptance of frontline social robots—Human-robot interaction as boundary condition," Technological Forecasting and Social Change, Elsevier, vol. 199(C).

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