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A Comparative Analysis of the Research Trends on Disinformation between Korea and Abroad

국내외 허위정보 연구동향 비교분석

  • 김희섭 (경북대학교 문헌정보학과) ;
  • 강보라 (경북대학교 문헌정보학과)
  • Received : 2019.07.16
  • Accepted : 2019.08.13
  • Published : 2019.08.31

Abstract

The aim of the present study was to compare the research trends on disinformation between Korean and abroad. To achieve this objective, a total of 283 author-assigned English keywords in 104 Korean papers and 3,551 author-assigned English keywords in 861 abroad papers were collected from the whole research fields and the publication periods. The collected data were analyzed using NetMiner V.4 to discover their 'degree centrality' and 'betweenness centrality'of the keyword network. The result are as follows. First, the major research topics of disinformation in Korea were drawn such as 'Freedom of Expression', 'Fact Check', 'Regulation', 'Media Literacy', and 'Information Literacy' in order; whereas, in abroad were shown like 'Social Media', 'Post Truth', 'Propaganda', 'Information Literacy', and 'Journalism' in order. Second, in terms of the influence of research topics related to disinformation, in Korea were identified such as 'Fact Check', 'Freedom of Expression', and 'Hoax' in order; whereas, in abroad were shown such as 'Social Media' and 'Detection' in order. Finally, in an aspect of intervention of research topics related to disinformation, in Korea were 'Fact Check', 'Polarization', 'Freedom of Expression', and 'Commercial'; whereas, in abroad were 'Social Media', 'Detection', and 'Machine Learning' in order.

본 연구의 목적은 국내외 허위정보에 관한 연구동향을 비교분석하는 것이다. 이를 위하여 전학문 분야의 학술지를 대상으로 연구기간의 제한이 없이 국내논문 104편과 국외논문 861편에 나타난 저자가 부여한 영문키워드를 수집하였다. 국내논문에서 수집된 283개 영문키워드와 국외논문에서 수집된 3,551개 영문키워드는 NetMiner V.4를 사용하여 키워드 네트워크의 연결중심성과 매개중심성을 분석하였으며, 분석결과는 다음과 같다. 첫째, 연구 주제의 양적 측면에서 국내의 경우는 'Freedom of Expression', 'Fact Check', 'Regulation', 'Media Literacy', 'Information Literacy'로 순으로, 국외의 경우는 'Social Media', 'Post Truth', 'Propaganda', 'Information Literacy', 'Journalism' 순으로 나타났다. 둘째, 연구 주제의 영향력 측면에서 국내의 경우는 'Fact Check', 'Freedom of Expression', 'Hoax' 순으로, 국외의 경우는 'Social Media', 'Detection' 순으로 확인되었다. 마지막으로 연구 주제의 확장성 측면에서 국내의 경우는 'Fact Check', 'Polarization', 'Freedom of Expression', 'Commercial' 순으로 나타났다. 한편, 전체키워드에서 낮은 빈도를 보였던 'Commercial'이 'Media Literacy', 'Freedom of Expression' 등을 매개하며 상대적으로 매개역할정도가 큰 것으로 확인되었다. 국외의 경우는 'Social Media', 'Detection', 'Machine Learning'이 주요 연결다리로 나타났다.

Keywords

References

  1. "Fake-distortion information technology resolution limits...It takes time to solve it socially." 2018. Hankyoreh. November, 1. [online] [cited 2019. 5. 7.]
  2. "You're rooting out fake news? Defending Freedom of Expression?" 2018. NocutNews. October, 9. [cited 2019. 7. 2.]
  3. "'Fake information' that causes social damage no less than fake news" 2017. MBN. Feburary, 21. [cited 2019. 5. 8.]
  4. Kwak, Ki-Young. 2017. Social Network Analysis. Seoul: ChungRam.
  5. "Why Google and the French press are united for 'Factcheck'." 2017. Mediatoday. March, 31. [online] [cited 2019. 5. 8.]
  6. Kwon, Mahnwoo, Jun, Yong Woo and Im, Hajin. 2015. Controversy and Guideline Suggestion Surrounding Fake News in the Digital Media Age. Journal of Korea Multimedia Society, 18(11): 1419-1426. https://doi.org/10.9717/kmms.2015.18.11.1419
  7. Kee, Hyun Suk. 2018. "The revision of the Public Election Law due to the spread of fake news." Ajou Law Research, 12(3): 237-259. https://doi.org/10.21589/ajlaw.2018.12.3.237
  8. Kim, Sun-Kyum et al. 2019. "Domain Analysis on the Field of Open Access by Co-Word Analysis: Based on Published Journals of Library and Information Science during 2013 to 2018." Journal of Korean Library and Information Science Society, 50(1): 333-356. https://doi.org/10.16981/kliss.50.1.201903.333
  9. Kim Chang Hwa. 2018. "Response to Fake News in the US and Media Literacy Education." The Journal of Law of Education, 30(3): 1-22. https://doi.org/10.17317/TJLE.30.3.201812.1
  10. Kim, Heesop and Kang, Bora. 2018. "An Analysis of the Digital Library Research Trends in Korea." Journal of the Korean Society for Information Management, 34(3): 49-66. https://doi.org/10.3743/KOSIM.2017.34.3.049
  11. Korea Communication Standards Commission. 2011. A Study on the Activation of Internet Joint Regulations in News Media Environment. Seoul: Korea Communication Standards Commission.
  12. Korea Communication Standards Commission. 2018. A Study on the Policy Measures to Improve the Response of Fake News. Seoul: Korea Communication Standards Commission.
  13. Sohn, Seunghye et al. 2018. "How Does Twitter Distribute Fake News? - Analysis of distribution patterns, influencers, and frequently-used words of 'traffic regulation amendment' and 'September 9th war in Korean peninsula' news." Journal of Cybercommunication Academic Society, 35(4): 203-251. https://doi.org/10.36494/JCAS.2018.12.35.4.203
  14. An, Sugil. 2019. "Germany's Network Enforcement Act Aimed at Combating Fake News." Hanyang Journal of Law, 36(1): 121-147.
  15. Yang Jung Ae. 2019. "The general public thinks 'news' and 'fake news'." Media Issue, 5(1): 1-15.
  16. Oh, Se Wook and Park, Ah Ran. 2017. "The general public's perception of 'fake news'." Media Issue, 3(3): 1-12.
  17. Yoo, Euisun. 2018. "Legal regulation of fake news: Focusing on the protection of societal legal interest." Korean society for media Law, Ethics and Policy research, 17(2): 39-68. https://doi.org/10.26542/JML.2018.8.17.2.39
  18. Yun, Sung Oak. 2018. "A discussion on the concept and scope of fake news." Korean society for media Law, Ethics and Policy research, 17(1): 51-84. https://doi.org/10.26542/JML.2018.4.17.1.51
  19. Yun, Tae-Uk and Ahn, Hyunchul. 2018. "Fake News Detection for Korean News Using Text Mining and Machine Learning Techniques." Journal of Information Technology Applications & Management, 25(1): 19-32. https://doi.org/10.21219/JITAM.2018.25.1.019
  20. Lee, Keehoen, Jung, Hyojung and Song, Min. 2015. "Weighted Subject - Method Network Analysis of Library and Information Science Studies." Journal of the Korean Society for Library and Information Science, 49(3): 457-488. https://doi.org/10.4275/KSLIS.2015.49.3.457
  21. Lee, Seongsin. 2016. "A Study on the Library Marketing Research Trends through Keyword Network Analysis: Comparative Analysis of Korea and Other Countries." Journal of the Korean Society for Library and Information Science, 50(3): 383-402. https://doi.org/10.4275/KSLIS.2016.50.3.383
  22. Lee, Soo-Sang. 2012. Network Analysis Methods. Seoul: NonHyung.
  23. Zhang, Ling Ling and Hong, Hyun Jin. 2014. "Examining the Intellectual Structure of Reading Studies with Co-Word Analysis Based on the Importance of Journals and Sequence of Keywords." The Korean Biblia Society For Library And Information Science, 25(1): 295-318. https://doi.org/10.14699/kbiblia.2014.25.1.295
  24. Jumg, Sehoon. 2018. "Countermeasures and Issues for Fake News." Kwanhun Journal, 60(1): 76-82.
  25. Jung, WooSung and Yang, Hyun-Jae. 2013. Research Trends of Science and Technology in the Field of Science and Technology Policy. Seoul: Korean Institute of S&T Evaluation and Planning.
  26. Cho, Jane. 2011. "A Study for Research Area of Library and Information Science by Network Text Analysis." Journal of the Korean Society for Information Management, 28(4): 65-83. https://doi.org/10.3743/KOSIM.2011.28.4.065
  27. National Election Commission. 2017. A Study on the Prevention of the Distortion of Cyber- Survivor's Deaths from the Disclosing of False Facts, including Fake News. Gyeonggi: National Election Commission.
  28. Hyun, Yoonjin. 2019. Text Analytics-based Fake News Detection Methodology Using News and Social Data. Ph.D. diss. Graduate School of Business IT, Kookmin University, Korea.
  29. Hong, Sook Yeong, and Jung, Eui Chul. 2017. "Fake News and Journalism's Credibility Crisis: Phenomena and Alternatives." Crisisonomy, 13(8): 43-60.
  30. Hong, Wan-sik. 2019. "A legislative review on the Anti-fakenews Bills." Law & Policy Review, 25(1): 329-357. https://doi.org/10.36727/jjlpr.25.1.201903.012
  31. Hwang, Y. and Kwon, O. 2017 "A Study on the Conceptualization and Regulation Measures on Fake News: Focused on self-regulation of internet service providers." Journal of Media Law, Ethics and Policy Research, 16(1): 53-101. https://doi.org/10.26542/JML.2017.4.16.1.53
  32. Hwang, Chi-Sheng. 2018. Why did the world declare all-out war with fake news? Gyeonggi: BookStar.
  33. Ajao, O., Bhowmik, D. and Zargari, S. 2018. "Fake news identification on twitter with hybrid CNN and rnn models." In Proceedings of the 9th International Conference on Social Media and Society, 226-230.
  34. Brussels. 2018. "Communication From the commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions." European Commission. Apr 26. [online] [cited 2019. 5. 11.]
  35. Carson, A., and Kate Farhall. 2018. "Understanding collaborative investigative journalism in a "post-truth" age." Journalism Studies, 19(13): 1899-1911. https://doi.org/10.1080/1461670X.2018.1494515
  36. Haim, M., Graefe, A. and Brosius, H. B. 2018. "Burst of the filter bubble? Effects of personalization on the diversity of Google News." Digital journalism, 6(3): 330-343. https://doi.org/10.1080/21670811.2017.1338145
  37. Kwon, S., Cha, M., and Jun, K. Jung. 2017. "Rumor detection over varying time windows." PloS one, 12(1): e0168344. https://doi.org/10.1371/journal.pone.0168344
  38. Lee, J., Agrawal, M. and Rao, H. R. 2015. "Message diffusion through social network service: The case of rumor and non-rumor related tweets during Boston bombing 2013." Information Systems Frontiers, 17(5): 997-1005. https://doi.org/10.1007/s10796-015-9568-z
  39. Moses, L. 2018. "One year in, Facebook Journalism Project gets mixed reviews from publishers." Digiday UK. [online] [cited 2019. 5. 7.]
  40. Notley, T. and Michael D. 2018. "Advancing children's news media literacy: learning from the practices and experiences of young Australians." Media, Culture & Society, 0163443718813470.
  41. Shu, K., Mahudeswaran, D. and Liu, H. 2018. "FakeNewsTracker: a tool for fake news collection, detection, and visualization." Computational and Mathematical Organization Theory, 1-12.
  42. Su, J., Li, X. and Wang, L. 2019. "The Study of a Journalism Which Is almost 99% Fake." LCM Journal, 5(2): 115-137.
  43. The Guardian. 2016. "Post-truth' named word of the year by Oxford Dictionaries." The Guardian. [online] [cited 2019. 5. 7.]
  44. World Economic Forum. 2013. "Global Risks 2013, Eighth Edition." [online] [cited 2019. 5. 10.]
  45. World Economic Forum. 2014. "Top 10 trends of 2014: 10. The rapid spread of misinformation online." [online] [cited 2019. 5. 10.]