1College of Management, Nanjing University of Posts & Telecommunications, Nanjing 210046, China 2College of Information Management, Nanjing University, Nanjing 210093, China
[Objective] This study examines the motivation and patterns of the Web users’ (i.e., college students) group attitudes to various online rumors. [Methods] First, we used survey to collect the attitude and behavior data of the participants in the process of rumor spreading. Second, we analyzed the data with classification algorithm. [Results] We found that Web users tried to verify the rumors, the content of the rumors decides the disseminating channels, and the interaction among Web users changed dynamically. The main factors affecting the Web users’ attitudes include the initial awareness, group behavior, as well as information acquisition and communication channels. However, there is no significant correlation between the changing of Web users’ attitudes and the rumors’ contents. [Limitations] Only investigated college students’ reaction to rumors, which might affect the comprehensiveness of the conclusions. [Conclusions] Analyzing online rumors with empirical research and data mining technology will offer more practical insights to establish online rumor models.
沈超,朱庆华,沈洪洲. 网络谣言传播中群体态度演变研究*[J]. 现代图书情报技术, 2016, 32(6): 37-45.
Shen Chao,Zhu Qinghua,Shen Hongzhou. Web Users’ Group Attitudes to Online Rumors. New Technology of Library and Information Service, 2016, 32(6): 37-45.
Mackie D M, Devos T, Smith E R.Intergroup Emotions: Explaining Offensive Action Tendencies in an Intergroup Context[J]. Journal of Personality and Social Psychology, 2000, 79(4): 602-616.
[2]
Nekovee M, Moreno Y, Bianconi G.Theory of Rumour Spreading in Complex Social Networks[J]. Physica A: Statistical Mechanics and Its Applications, 2007, 374(1): 457-470.
(Wei Jing, Zhu Hengmin, Song Ruixiao, et al.Link Prediction Analysis of Internet Public Opinion Transfer from the Individual Perspective[J]. New Technology of Library and Information Service, 2016(1): 55-64.)
[4]
Bonzom V, Gurau R, Rivasseau V.The Ising Model on Random Lattices in Arbitrary Dimensions[J]. Physics Letters B, 2012, 711(1): 88-96.
(Zhao Weidong, Zhao Xudong, Dai Weihui, et al.Emotion Propagation Mechanism of Emergency Events in Cyberspace and Simulaiton[J]. Systems Engineering-Theory & Practice, 2015, 35(11): 2573-2581.)
[6]
DiFonzo N. Rumour Research Can Douse Digital Wildfires[J]. Nature, 2013, 493(1): 135.
(Wang Enjie, Wang Ying.Research on the Characteristics of Internet Users’ Attitude from an Internet Rumor[J]. Southeast Communication, 2010(5): 45-47.)
(Fang Fujian, Wang Guohua.The Attitude of Internet Users in the Events Involving Officers[J]. Journal of Huazhong University of Science and Technology: Social Science, 2011, 25(2): 106-112.)
(Wang Zhijin, Zhang Sufang, Zhou Peng.From Confirmation to Questioning——Thinking Paradigms Shift in the Process of Intelligence Analysis[J]. Library and Information Service, 2011, 55(16): 20-24.)
[10]
Jung J H, Schneider C, Valacich J.Enhancing the Motivational Affordance of Information Systems[J]. Management Science, 2010, 56(4): 724-742.
[11]
Deng L Q, Marshall S P.Affect in Web Interfaces: A Study of the Impacts of Webpage Visual Complexity and Order[J]. MIS Quarterly, 2010, 34(4): 711-730.
[12]
Pang B, Lee L.Opinion Mining and Sentiment Analysis[J]. Foundations and Trends in Information Retrieval, 2008, 2(1): 1-135.
[13]
Guo Z, Faming Z, Fang W, et al.Knowledge Creation in Marketing Based on Data Mining [C]. In: Proceedings of the 2008 International Conference on Intelligent Computation Technology and Automation. 2008.
[14]
Zhao X X, Wang J Z. Dynamical Model About Rumor Spreading with Medium [J]. Discrete Dynamics in Nature and Society, 2013: Article No. 586867.
[15]
Li F, Han Chao, Huang M, et al.Structure-aware Review Mining and Summarization [C]. In: Proceedings of the 23rd International Conference on Computational Linguistics, 2010.
[16]
Gerald P, Karpowicz M, Fürschuβ H, et al.Computational Approaches for Mining User’s Opinions on the Web 2.0[J]. Information Processing and Management, 2014, 50(6): 899-908.
[17]
Dursun D, Cemil K, Ali U.Measuring Firm Performance Using Financial Ratios: A Decision Tree Approach[J]. Expert Systems with Applications, 2013, 40(8): 3970-3983.
[18]
Chiang H J, Tseng C C, Torng C C.A Retrospective Analysis of Prognostic Indicators in Dental Implant Therapy Using the C5.0 Decision Tree Algorithm[J]. Journal of Dental Sciences, 2013, 8(3): 248-255.