Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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Applying Text Mining to Identify Factors Which Affect Likes and Dislikes of Online News Comments

텍스트마이닝을 통한 댓글의 공감도 및 비공감도에 영향을 미치는 댓글의 특성 연구

  • 김정훈 (경희대학교 일반대학원 경영학과) ;
  • 송영은 (경희대학교 일반대학원 경영학과) ;
  • 진윤선 (경희대학교 일반대학원 경영학과) ;
  • 권오병 (경희대학교 경영대학)
  • Received : 2015.05.21
  • Accepted : 2015.06.06
  • Published : 2015.06.30
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Abstract

As a public medium and one of the big data sources that is accumulated informally and real time, online news comments or replies are considered a significant resource to understand mentalities of article readers. The comments are also being regarded as an important medium of WOM (Word of Mouse) about products, services or the enterprises. If the diffusing effect of the comments is referred to as the degrees of agreement and disagreement from an angle of WOM, figuring out which characteristics of the comments would influence the agreements or the disagreements to the comments in very early stage would be very worthwhile to establish a comment-based eWOM (electronic WOM) strategy. However, investigating the effects of the characteristics of the comments on eWOM effect has been rarely studied. According to this angle, this study aims to conduct an empirical analysis which understands the characteristics of comments that affect the numbers of agreement and disagreement, as eWOM performance, to particular news articles which address a specific product, service or enterprise per se. While extant literature has focused on the quantitative attributes of the comments which are collected by manually, this paper used text mining techniques to acquire the qualitative attributes of the comments in an automatic and cost effective manner.

Keywords

References

  1. Bae, J.Y., "The Influence of Online News Replies on Netizen' CSR Perception, Attitude, Purchase Intention, and Word of Mouth Intention", The Korean Journal of Advertising, Vol.20, No.5, 2009, 7-37. (배지양, "댓글의 품질 및 방향성이 영리기업의 사회공헌활동에 대한 공중의 책임성인식, 태도, 구매의도, 구전활동의도에 미치는 영향", 광고학연구, 제20권, 제5호, 2009, 7-37.)
  2. Baumeister, R.F., E. Bratslavsky, C. Finkenauer, and K.D. Vohs, "Bad Is Stronger Than Good", Review of General Psychology, Vol.5 No.4, 2001, 323-70. https://doi.org/10.1037/1089-2680.5.4.323
  3. Bickart, B. and R.M. Schindler, "Internet Forums as Influential Sources of Consumer Information", Journal of Interactive Marketing, Vol.15 No.3, 2001, 31-40. https://doi.org/10.1002/dir.1014
  4. Blom, F., "Information Overload and the Growing Infosphere : a Comparison of the Opinions and Experiences of Information Specialists and General Academics on the Topic of Information Overload", 2011. Available at http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A438746&dswid=-867(Accessed May 18. 2015).
  5. Chen, H.L., "Identifying Factors of Online News Comments", Proceedings of the American Society for Information Science and Technology, Vol.49, No.1, 2012, 1-4.
  6. Cheung, M.Y., C. Luo, C.L. Sia, and H. Chen, "Credibility of Eelectronic Word-of-Mouth : Informational and Normative Determinants of On-Line Consumer Recommendations", International Journal of Electronic Commerce, Vol.13, No.4, 2009, 9-38. https://doi.org/10.2753/JEC1086-4415130402
  7. Chevalier, J.A. and D. Mayzlin, "The Effect of Word of Mouth on Sales : Online Book Reviews", Journal of Marketing Research, Vol.43, No.3, 2006, 345-354. https://doi.org/10.1509/jmkr.43.3.345
  8. Cho, S.Y. and Y.S. Hong, "Netizen's Evaluations of Corporate Social Responsibility : Content analysis of CSR News Stories and Online Reader's Comments", Public Relations Review, Vol.35, No.2, 2009, 147-149. https://doi.org/10.1016/j.pubrev.2008.09.012
  9. Christodoulides, G., N. Michaelidou, and E. Argyriou, "Cross-National Differences in eWOM Influence", European Journal of Marketing, Vol.46, No.11, 2012, 1689-1707. https://doi.org/10.1108/03090561211260040
  10. De Matos, C.A. and C.A.V. Rossi, "Word-of-Mouth Communications in Marketing : A Meta-Analytic Review of the Antecedents and Moderators", Journal of the Academy of Marketing Science, Vol.36, No.4, 2008, 578-96. https://doi.org/10.1007/s11747-008-0121-1
  11. Fan, W. and S. Sun, "Sentiment Classification for Online Comments on Chinese News", In Computer Application and System Modeling( ICCASM), 2010 International Conference, Vol.4, 2010, 4-740.
  12. Fiske, S.T., "Attention and Weight in Person Perception : The Impact of Negative and Extreme Information", Journal of Personality and Social Psychology, Vol.38, No.6, 1980, 889-906. https://doi.org/10.1037/0022-3514.38.6.889
  13. Folkman, S. and R.S. Lazarus, "An Analysis of Coping in a Middle-Aged Community Sample", Journal of Health and Social Behavior, Vol.21, No.3, 1980, 219-239. https://doi.org/10.2307/2136617
  14. Gupta, P. and J. Harris, "How eWOM Recommendations Influence Product Consideration and Quality of Choice : A Motivation to Process Information Perspective", Journal of Business Research, Vol.63, No.9, 2010, 1041-1049. https://doi.org/10.1016/j.jbusres.2009.01.015
  15. Hennig-Thurau, T., K. Gwinner, G. Walsh, and D. Gremler, "Electronic Word-of-Mouth Via Consumer Opinion Platforms : What Motivates Consumers to Articulate Themselves on the Internet?", Journal of Interactive Marketing, Vol.18, No.1, 2004, 38-52. https://doi.org/10.1002/dir.10073
  16. Katz, E. and P.F. Lazarsfeld, The Part Played by People in the Flow of Mass Communications, Personal Influence, Transaction Publishers, 1955.
  17. Kim, E.M. and Y.H. Sun, "The Effect of Replies in Internet News on the Audience", Korean Society For Journalism And Communication Studies, Vol.50, No.4, 2006, 33-64. (김은미, 선유화, "댓글에 대한 노출이 뉴스 수용에 미치는 효과", 한국언론학보, 제50권, 제4호, 2006, 33-64.)
  18. Kim, S.D., S.Y. Kim, and H.G. Cho, "A Model for Popularity Dynamics to Predict Hot Articles in Discussion Blog", In Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, Vol.10, 2012, 1-10.
  19. Krippendorff, K., "Content Analysis", International Encyclopedia of Communication, Vol.1, 1989, 403-407.
  20. Landis, J.R. and G.G. Koch, "The Measurement of Observer Agreement for Categorical Data", Biometrics, Vol.33, No.1, 1977, 159-174. https://doi.org/10.2307/2529310
  21. Lau, G. and S. Ng, "Individual and Situational Factors Influencing Word-of-Mouth Behaviour", Canadian Journal of Administrative Sciences, Vol.18 No.3, 2001, 163-178.
  22. Maynard, D.W., "Comment : Bad News and Good News : Losing vs. Finding the Phenomenon in Legal Settings", Law and Social Inquiry, Vol.31, No.2, 2006, 477-497. https://doi.org/10.1111/j.1747-4469.2006.00019.x
  23. Moon, K.S., S. Kim, and S.J. Oah, "An Effect of the Valence of Best Reply on the Conformity of General Reply", The Journal of the Korea Contents Association, Vol.13, No.12, 2013, 201-211. (문광수, 김 슬, 오세진, "베스트 댓글의 방향성이 일반댓글의 동조효과에 미치는 영향", 한국콘텐츠학회논문지, 제13권, 제12호, 2013, 201-211.) https://doi.org/10.5392/JKCA.2013.13.12.201
  24. Newman, J. and R. Staelin, "Prepurchase Information Seeking for New Cars and Major Household Appliances", Journal of Marketing Research, Vol.9 No.3, 1972, 249-57. https://doi.org/10.2307/3149534
  25. O'Connor, B., R. Balasubramanyan, B.R. Routledge, and N.A. Smith, "From Tweets to Polls : Linking Text Sentiment to Public Opinion Time Series", Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, 2010, 122-129.
  26. Park, C.L., S. Armeli, and H. Tennen, "Appraisal-Coping Goodness of Fit : A Daily Internet Study", Personality and Social Psychology Bulletin, Vol.30, No.5, 2004, 558-569. https://doi.org/10.1177/0146167203262855
  27. Park, C. and T.M. Lee., "Information Direction, Website Reputation and eWOM Effect : A Moderating Role of Product Type", Journal of Business Research, Vol.62, No.1, 2009, 61-67. https://doi.org/10.1016/j.jbusres.2007.11.017
  28. Phelps, J., R. Lewis, L. Mobilio, D. Perry, and N. Raman, "Viral Marketing or Electronic Wordof-Mouth Advertising : Examining Consumer Responses and Motivations to Pass Along E-Mail", Journal of Advertising Research, Vol.44, No.4, 2004, 333-348. https://doi.org/10.1017/S0021849904040371
  29. Richins, M., "Negative Word of Mouth by Dissatisfied Consumers : A Pilot Study", Journal of Marketing, Vol.47, No.1, 1983, 63-79.
  30. Rozin, P. and E.B. Royzman, "Negativity Bias, Negativity Dominance, and Contagion", Personality and Social Psychology Review, Vol.5, No.4, 2001, 296-320. https://doi.org/10.1207/S15327957PSPR0504_2
  31. Saveski, M., D. Quercia, and A. Mantrach, "The Geography of Online News Engagement", In Social Informatics, Springer International Publishing, 2014, 279-289.
  32. Tatar, A., J. Leguay, P. Antoniadis, A. Limbourg, M.D. de Amorim, and S. Fdida, "Predicting the Popularity of Online Articles Based on User Comments", In Proceedings of the ACM International Conference on Web Intelligence, Mining and Semantics, 2011, 67.
  33. Thelwall, M., "No Place for News in Social Network Web Sites?", Online Information Review, Vol.32, No.6, 2008, 726-744. https://doi.org/10.1108/14684520810923908
  34. Westbrook, R.A., "Product/Consumption Based Affective Responses and Postpurchase Processes", Journal of Marketing Research, Vol.24, No.3, 1987, 258-70. https://doi.org/10.2307/3151636
  35. Yang, H.S., "The Effects of the Opinion and Quality of User Posting on Internet News Readers' Attitude Toward the News Issue", Korean Society For Journalism And Communication Studies, Vol.52, No.2, 2008, 254-281. (양혜승, "인터넷 뉴스 댓글의 견해와 품질이 독자들의 이슈에 대한 태도에 미치는 영향", 한국언론학보, 제52권, 제2호, 2008, 254-281.)

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