Asian Journal of Innovation and Policy

Asian Society for Innovation and Policy (아시아기술혁신학회)
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Media coverage of the conflicts over the 4th Industrial Revolution in the Republic of Korea from 2016 to 2020: a text-mining approach

  • Yang, Jiseong (Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology) ;
  • Kim, Byungjun (Center for Digital Humanities and Computational Social Sciences, Korea Advanced Institute of Science and Technology) ;
  • Lee, Wonjae (Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology)
  • Received : 2022.06.08
  • Accepted : 2022.08.01
  • Published : 2022.08.31
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Abstract

The media has depicted an abrupt socio-technological change in the Republic of Korea with the 4th Industrial Revolution. Because technologies cannot realize their potential without social acceptance, studying conflicts incurred by such a change is imperative. However, little literature has focused on conflicts caused by technologies. Therefore, the current study investigated media coverage regarding conflicts related to the 4th Industrial Revolution from 2016 to 2020 in the Republic of Korea, applying text-mining techniques. We found that the overall amount and coverage pattern conforms to the issue attention cycle. Also, the three major topics ("SMEs & Startups," "Mobility Conflict," and "Human & Technology") indicate quarrels between conflicting social entities. Moreover, the temporal change in media coverage implies the political use of the term rather than technological. However, we also found the media's deliberative discussion on the socio-technological impact. This study is significant because we expanded the discussion on media coverage of technologies to the realm of social conflicts. Furthermore, we explored the news articles of the recent five years with a text-mining approach that enhanced the objectivity of the research.

Keywords

Acknowledgement

This work was supported by BK21 Plus Postgraduate Organization for Content Science. Special thanks go to all the reviewers who dedicated their time and effort to provide constructive feedback to this paper. Also, this research has greatly benefited from the interaction with Inje Kang at Business and Technology Management, KAIST.

References

  1. Alkemade, F., & Suurs, R. A. A. (2012). Patterns of expectations for emerging sustainable technologies. Technological Forecasting and Social Change, 79(3), 448-456. https://doi.org/https://doi.org/10.1016/j.techfore.2011.08.014
  2. Anderson, A. A., Brossard, D., & Scheufele, D. A. (2012). News coverage of controversial emerging technologies: Evidence for the issue attention cycle in print and online media. Politics and the Life Sciences, 31(1-2), 87-96. https://doi.org/10.2990/31_1-2_87
  3. Bennett, W. L. (1990). Toward a Theory of Press-State Relations in the United States. Journal of Communication, 40(2), 103-127. https://doi.org/10.1111/j.1460-2466.1990.tb02265.x
  4. Blei, D. M., Ng, A. Y., & Jordan, M. T. (2002). Latent dirichlet allocation. Advances in Neural Information Processing Systems, 3, 993-1022. https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf?ref=https://githubhelp.com
  5. Cacciatore, M. A., Anderson, A. A., Choi, D.-H., Brossard, D., Scheufele, D. A., Liang, X., Ladwig, P. J., Xenos, M., & Dudo, A. (2012). Coverage of emerging technologies: A comparison between print and online media. New Media & Society, 14(6), 1039-1059. https://doi.org/10.1177/1461444812439061
  6. Choi, J., Lee, H., & Jin, E. (2019). A Topic Modeling Analysis of the News Topic on the 4th Industrial Revolution in Korea: Focusing on the Difference by Media Type and Each Major Period. Journal of Cybercommunication Academic Society, 36(2), 173-219. https://doi.org/10.36494/JCAS.2019.06.36.2.173
  7. Dedehayir, O., & Steinert, M. (2016). The hype cycle model: A review and future directions. Technological Forecasting and Social Change, 108, 28-41. https://doi.org/10.1016/J.TECHFORE.2016.04.005
  8. Farrell, J. (2016). Corporate funding and ideological polarization about climate change. Proceedings of the National Academy of Sciences of the United States of America, 113(1), 92-97. https://doi.org/10.1073/pnas.1509433112
  9. Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: a multilevel framework of determinants and opportunities for future research. Journal of Business Research, 55(2), 163-176. https://doi.org/https://doi.org/10.1016/S0148-2963(00)00152-1
  10. Frey, C. B. (2019). The technology trap. In The Technology Trap. Princeton University Press.
  11. Ha, W. G., & Choi, N. H. (2015). The 4th Industrial Revolution. Contentshada.
  12. Hu, N., Zhang, T., Gao, B., & Bose, I. (2019). What do hotel customers complain about? Text analysis using structural topic model. Tourism Management, 72, 417-426. https://doi.org/10.1016/j.tourman.2019.01.002
  13. Hussain, A., Kim, C., Battsengel, G., & Jeon, J. (2021). Analyzing Technological Trends of Smart Factory using Topic Modeling. Asian Journal of Innovation & Policy, 10(3).
  14. Jackson, J. W. (1993). Realistic group conflict theory: A review and evaluation of the theoretical and empirical literature. The Psychological Record, 43(3), 395.
  15. Jeon, J., & Suh, Y. (2017). Analyzing the Major Issues of the 4 th Industrial Revolution. Asian Journal of Innovation and Policy, 6(3), 262-273. https://doi.org/10.7545/AJIP.2017.6.3.262
  16. Jun, S. P. (2012). A comparative study of hype cycles among actors within the sociotechnical system: With a focus on the case study of hybrid cars. Technological Forecasting and Social Change, 79(8), 1413-1430. https://doi.org/10.1016/J.TECHFORE.2012.04.019
  17. Jun, S. P., Kim, Y. E., & Yoo, H. S. (2013). A Comparative Study of Consumers Hype Cycles Using Web Search Traffic of Naver and Google. Korea Technology Innovation Society, 16(4), 1109-1133.
  18. Korea Press Foundation. (2020). Media Users in Korea 2020. https://www.kpf.or.kr/synap/skin/doc.html?fn=1610955418165.pdf&rs=/synap/result/research/
  19. Li, X., Xie, Q., & Huang, L. (2019). Identifying the development trends of emerging technologies using patent analysis and web news data mining: the case of perovskite solar cell technology. IEEE Transactions on Engineering Management.
  20. Lindstedt, N. C. (2019). Structural Topic Modeling For Social Scientists: A Brief Case Study with Social Movement Studies Literature, 2005-2017. Social Currents, 6(4), 307-318. https://doi.org/10.1177/2329496519846505
  21. Metag, J., & Marcinkowski, F. (2014). Technophobia towards emerging technologies? A comparative analysis of the media coverage of nanotechnology in Austria, Switzerland and Germany. Journalism, 15(4), 463-481. https://doi.org/10.1177/1464884913491045
  22. Mimno, D., & McCallum, A. (2008). Topic models conditioned on arbitrary features with Dirichlet-Multinomial regression. Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008, 411-418. https://arxiv.org/abs/1206.3278
  23. Moon, Y., & Seol, S. (2017). Evaluation of the Theory of the 4 th Industrial Revolution. Asian Journal of Innovation and Policy, 6(3), 245-261. https://doi.org/10.7545/AJIP.2017.6.3.245
  24. Noh, S. (2020). Analysis of Issues Related to the Fourth Industrial Revolution Based on Topic Modeling. Journal of Digital Contents Society, 18(5), 75-87.
  25. Roberts, M. E., Stewart, B. M., Airoldi, E. M., Benoit, K., Blei, D., Brandt, P., & Spirling, A. (2014). Structural topic models. Retrieved May, 30, 2014.
  26. Roberts, M. E., Stewart, B. M., & Tingley, D. (2019). Stm: An R package for structural topic models. Journal of Statistical Software, 91, 1-40.
  27. Roberts, R., Flin, R., Millar, D., & Corradi, L. (2021). Psychological factors influencing technology adoption: A case study from the oil and gas industry. Technovation, 102, 102219. https://doi.org/https://doi.org/10.1016/j.technovation.2020.102219
  28. Schafer, M. S. (2011). Sources, characteristics and effects of mass media communication on science: A review of the literature, current trends and areas for future research. In Sociology Compass (Vol. 5, Issue 6, pp. 399-412). https://doi.org/10.1111/j.1751-9020.2011.00373.x
  29. Schafer, M. S. (2017). How changing media structures are affecting science news coverage. The Oxford Handbook of the Science of Science Communication, 51, 57.
  30. Scheufele, D. A. (2013). Communicating science in social settings. Proceedings of the National Academy of Sciences of the United States of America, 110(SUPPL. 3), 14040-14047. https://doi.org/10.1073/pnas.1213275110
  31. Strekalova, Y. A. (2015). Informing dissemination research: A content analysis of US newspaper coverage of medical nanotechnology news. Science Communication, 37(2), 151-172. https://doi.org/10.1177/1075547014555025
  32. Sun, S., Zhai, Y., Shen, B., & Chen, Y. (2020). Newspaper coverage of artificial intelligence: A perspective of emerging technologies. Telematics and Informatics, 53, 101433. https://doi.org/10.1016/j.tele.2020.101433
  33. Vayansky, I., & Kumar, S. A. P. (2020). A review of topic modeling methods. Information Systems, 94, 101582. https://doi.org/10.1016/j.is.2020.101582
  34. Yoon, H. (2018a). An Analysis of News (title) on Fourth Industrial Revolution: How the Keyword on Technology-Society Paradigm is Articulated in South Korea. Information Society & Media, 19(2), 1-28. https://doi.org/10.52558/ISM.2018.08.19.2.1
  35. Yoon, J. (2018b). The Fourth Industrial Revolution in South Korea: Discourse Limitations and Implications of Response Strategies. Chung-Ang Public Administration Review, 32(1), 21-53.