Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Identification of public concerns about radiation through a big data analysis of questions posted on a portal site in Korea

  • Received : 2020.11.10
  • Accepted : 2020.11.30
  • Published : 2021.06.25
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Abstract

This paper analyzed the primary concerns about radiation among the Korean public with a big data analysis of questions posted at the section of "Knowledge iN" on the portal site NAVER in Korea from January 2010 to August 2020. First, we extracted questions about radiation and categorized them into the three categories with TF-IDF analysis: "Medical," "Career Counseling," and "General Interest". The "Medical" category includes questions about radiation diagnosis or treatment. The "Career Counseling" category includes questions about entering college and the prospect of finding jobs in radiation-related fields. The "General Interest" category includes questions about terminology and the basic knowledge of radiation or radioisotopes. Second, we extracted common questions for each category. Finally, we analyzed the temporal change in the numbers of questions for each category to confirm whether there is any correlation between radiation-related events and the number of questions. The analysis results demonstrate that major radiation-related events have little relevance to the number of questions except during March 2011.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korean government (Ministry of Science and ICT). (No. 2020M2D2A2062436).

References

  1. C. Grupen, M. Rodgers, Radioactivity and Radiation: what They Are, what They Do, and How to Harness Them, springer, UK, 2019.
  2. Nuclear Safety and Security Commission, 2018 Report on Occupational Radiation Exposures in Korea, 2020. KoFONS/RR-006/2020.
  3. Y. Kim, M. Kim, W. Kim, Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy, Energy Pol. 61 (2013) 822-828, https://doi.org/10.1016/j.enpol.2013.06.107.
  4. M.J. Goodfellow, H.R. Williams, A. Azapagic, Nuclear renaissance, public perception and design criteria: an exploratory review, Energy Pol. 39 (2011) 6199-6210, https://doi.org/10.1016/j.enpol.2011.06.068.
  5. G. He, A.P.J. Mol, L. Zhang, Y. Lu, Public participation and trust in nuclear power development in China, Renew. Sustain. Energy Rev. 23 (2013) 1-11, https://doi.org/10.1016/j.rser.2013.02.028.
  6. K. Mulder, The dynamics of public opinion on nuclear power. Interpreting an experiment in The Netherlands, Technol. Forecast, Soc. Change 79 (2012) 1513-1524, https://doi.org/10.1016/j.techfore.2012.04.018.
  7. M.J. Goodfellow, P. Dewick, J. Wortley, A. Azapagic, Public perceptions of design options for new nuclear plants in the UK, Process Saf. Environ. Protect. 94 (2015) 72-88, https://doi.org/10.1016/j.psep.2014.12.008.
  8. D.N. yin Mah, P. Hills, J. Tao, Risk perception, trust and public engagement in nuclear decision-making in Hong Kong, Energy Pol. 73 (2014) 368-390, https://doi.org/10.1016/j.enpol.2014.05.019.
  9. M.S. Yim, P.A. Vaganov, Effects of education on nuclear risk perception and attitude: Theory, Prog. Nucl. Energy 42 (2003) 221-235, https://doi.org/10.1016/S0149-1970(03)80010-0.
  10. E. Kenny, B. Byrne, M. Lewis, D.M. King, Perception of medical radiation risk in Ireland: results of a public survey, Phys. Med. 68 (2019) 96-103, https://doi.org/10.1016/j.ejmp.2019.10.033.
  11. I. Miura, M. Nagai, M. Maeda, M. Harigane, S. Fujii, M. Oe, H. Yabe, Y. Suzuki, H. Takahashi, T. Ohira, S. Yasumura, M. Abe, Perception of radiation risk as a predictor of mid-term mental health after a nuclear disaster: the fukushima health management survey, Int. J. Environ. Res. Publ. Health 14 (2017) 1-13, https://doi.org/10.3390/ijerph14091067.
  12. H.K. Florig, An analysis of public-interest group positions on radiation protection, Health Phys. 91 (2006) 508-513, https://doi.org/10.1097/01.HP.0000232650.11844.74.
  13. M.R. Tanha, F.R. Khalid, C. Hoeschen, Assessment of radiation protection and awareness level among radiation workers and members of the public in Afghanistan - a pilot study, J. Radiol. Prot. 39 (2019) N1-N7, https://doi.org/10.1088/1361-6498/ab2204.
  14. K.K. Nam, A. Arbor, M.S. Ackerman, Questions in , knowledge iN ? A study of naver ' s question answering community, university of Michigan, CHI '09 proc. Twenty-sixth, Annu. SIGCHI Conf. Hum. Factors Comput. Syst. (2009) 779-788, https://doi.org/10.1145/1518701.1518821.
  15. J.E. Park, J.W. Cho, J.H. Jang, Keyword trends for motherechild oral health in korea based on social media big data from naver, Healthc. Inform. Res. 26 (2020) 212-219, https://doi.org/10.4258/hir.2020.26.3.212.
  16. S. Park, Y. Kim, U. Lee, M.S. Ackerman, Understanding localness of knowledge sharing: a study of naver KiN "Here," MobileHCI 2014 -, Proc. 16th ACM Int. Conf. Human-Computer Interact. with Mob. Devices Serv (2014) 13-22, https://doi.org/10.1145/2628363.2628407.
  17. S. Jung, Communication for ethics and corrective action in cyberspace, 10, Cybercommunication Academic Society, 2002, pp. 75-104.
  18. A.A. Jalal, B.H. Ali, Text documents clustering using data mining techniques, Int. J. Electr. Comput. Eng. 11 (2021) 664-670, https://doi.org/10.11591/ijece.v11i1. pp664-670.