题名

網路論壇寫手之行為分析-以Mobile01個案探討

并列篇名

TO EXPLORE THE FAKE REVIEWERS' BEHAVIOR - A CASE STUDY ON MOBILE 01

DOI

10.6338/JDA.201908_14(4).0001

作者

鄭麗珍(Li Chen Cheng);鐘采瑜(Tsai Yu Chung);陳亮融(Liang Rong Chen);黃俊豪(Jun Hao Huang)

关键词

虛假評論 ; 網路寫手 ; 關聯規則 ; 層級分析 ; fake review ; fake reviewer ; AHP ; association rule

期刊名称

Journal of Data Analysis

卷期/出版年月

14卷4期(2019 / 08 / 01)

页次

1 - 24

内容语文

繁體中文

中文摘要

網際網路的蓬勃發展改變了人們表達自己以及與他人互動的方式,進而使得線上評論內容影響了消費者的決策。目前企業開始重視消費者在網上的評論,會透過觀察的機制,希望提升網路上正向評論,能為公司帶來業績或名望。因此有些企業會聘請寫手,來撰寫評論希望藉此提升自家的產品或服務的正向口碑。過去國外這方面的研究大多是以評論內容為基礎,透過亞馬遜網站的外包服務去聘請寫手,以提出演算法過濾出虛假評論。但這些資料不夠真實,有一份資料指出Mobile01的Samsung 版的可疑內容,因此本研究以此內容作為研究與分析的個案資料,整理過濾評論者與評論等相關資料,透過關聯規則過濾作者的行為,希望可以找出寫手群;此外透過層級分析法訪談實際的網路行銷人員,了解真實的操作手法,以為後續研究的參考。

英文摘要

The rapid growth of the Internet has changed the way people express themselves and interact with others. Most people search online and study the experiences that are sharing from other people, and then decide if they will buy this product. It makes online customer reviewers of both products and service can affect the consumers' decisions. However, positive opinions can help business to bring in benefits or raise their reputation. Therefore, some of the businesses will hire spammers to do something for them such as improving their target products/service or attempting to defame their competitors. Most of prior works used reviews' content based to filter the fake reviews. This study focuses on analyzing spammer behaviors on a well-known Taiwan web forum, Mobile01. We consulted the relative professional in this essay and analyzed the result via the Analytic Hierarchy Processing to understanding the methods manipulated by marketer. Finally, we explored some interesting finding about spammers.

主题分类 基礎與應用科學 > 資訊科學
基礎與應用科學 > 統計
社會科學 > 管理學
参考文献
  1. Agrawal, R.,Imieliński, T.,Swami, A.(1993).Mining association rules between sets of items in large databases.Paper presented at the Acm sigmod record
  2. Agrawal, R.,Srikant, R.(1994).Fast algorithms for mining association rules.Proc. 20th int. conf. very large data bases
  3. Akerlof, G. A.(1970).The market for" lemons": Quality uncertainty and the market mechanism.The quarterly journal of economics,488-500.
  4. Anderson, E.,Simester, D.(2013).,未出版
  5. Chen, Y.-R.,Chen, H.-H.(2015).Opinion spam detection in web forum: a real case study.Proceedings of the 24th International Conference on World Wide Web
  6. Chevalier, J. A.,Mayzlin, D.(2006).The effect of word of mouth on sales: Online book reviews.Journal of marketing research,43(3),345-354.
  7. Chua, A. Y.,Banerjee, S.(2014).Developing a theory of diagnosticity for online reviews.Proceedings of the International MultiConference of Engineers and Computer Scientists
  8. Duan, W.,Gu, B.,Whinston, A. B.(2008).The dynamics of online word-of-mouth and product sales-An empirical investigation of the movie industry.Journal of retailing,84(2),233-242.
  9. Jindal, N.,Liu, B.(2008).Opinion spam and analysis.Proceedings of the 2008 International Conference on Web Search and Data Mining
  10. Mukherjee, A.,Liu, B.,Glance, N.(2012).Spotting fake reviewer groups in consumer reviews.Proceedings of the 21st international conference on World Wide Web
  11. Mukherjee, A.,Liu, B.,Wang, J.,Glance, N.,Jindal, N.(2011).Detecting group review spam.Proceedings of the 20th international conference companion on World wide web
  12. Mukherjee, A.,Venkataraman, V.,Liu, B.,Glance, N.(2013).,University of Illinois at Chicago.
  13. Mukherjee, A.,Venkataraman, V.,Liu, B.,Glance, N. S.(2013).What yelp fake review filter might be doing?.ICWSM
  14. Pang, B.,Lee, L.(2008).Opinion mining and sentiment analysis.Foundations and Trends® in Information Retrieval,2(1–2),1-135.
  15. Saaty, Thomas L.,Peniwati, Kirti(2008).Group Decision Making: Drawing out and Reconciling Differences.Pittsburgh, Pennsylvania:RWS Publications.
  16. Severyn, A.,Moschitti, A.,Uryupina, O.,Plank, B.,Filippova, K.(2016).Multi-lingual opinion mining on youtube.Information Processing & Management,52(1),46-60.
  17. Wang, C.-C.,Day, M.-Y.,Lin, Y.-R.(2016).A Real Case Analytics on Social Network of Opinion Spammers.Information Reuse and Integration (IRI), 2016 IEEE 17th International Conference on
  18. Wire, N. (2009). Global advertising: Consumers trust real friends and virtual strangers the most. Retrieved June, 1, 2010.
  19. Wu, J.(2017).Review popularity and review helpfulness: A model for user review effectiveness.Decision Support Systems,97,92-103.
  20. Zhao, J.,Liu, K.,Xu, L.(2016).Sentiment Analysis: Mining Opinions, Sentiments, and Emotions.MIT Press.
  21. 吳美棱, M.-L.(2015)。中興大學環境工程學系所。
  22. 陳偉郁(2015)。國防大學。
  23. 黃子維(2016)。成功大學工程管理碩士在職專班。
  24. 賴春茹(2014)。南華大學。
  25. 薛必仁(2015)。國立臺灣科技大學。