[Purpose/significance] Based on the user perspective on information credibility evaluation research, analysis of user credibility evaluation behavior and the user credibility evaluation index system, research on information credibility evaluation theory is of great significance. [Method/process] By adopting the method of grounded theory, coding the user information credibility comments from the information source, information content, structure and medium three dimensions in Q&A community,, this paper analyzed users' credibility evaluation decision in the real situation. [Result/conclusion] Users are more inclined to use the information content dimension evaluation index to evaluate the credibility of information. The accuracy, logicality and objectivity of the single index are higher. The joint index is accuracy and objectivity, accuracy and rationality. The professional knowledge background influences the depth of credibility evaluation of users. The higher the correlation between professional background and topic, the greater the influence of credibility review.
Shen Wang
,
Kang Xiaopu
,
Wang Jiaxin
,
Rao Zeyang
. Research on the Evaluation of Information Credibility of Social Q&A Community Based on Users' Perspective[J]. Library and Information Service, 2018
, 62(17)
: 104
-111
.
DOI: 10.13266/j.issn.0252-3116.2018.17.013
[1] 西尔弗,胡晓姣,张新,等.信号与噪声[J].中国科技信息,2013(20):88-89.
[2] SELF C C. An integrated approach to communication theory and research[M]. 2nd ed. New York:Routledge,2009:435-456.
[3] WESTERMAN D, SPENCE P R, HEIDE B V D. Social media as information source:recency of updates and credibility of information[J].Journal of computer-mediated communication,2014,19(2):171-183.
[4] 王一华.社交媒体信息可信度评估研究综述[J].现代情报,2016,36(12):164-169.
[5] CHUNG C J, NAM Y, STEFANONE M A. Exploring online news credibility:the relative influence of traditional and technological factors[J].Journal of computer-mediated communication,2012,17(2):171-186.
[6] LI R, SUH A. Factors influencing information credibility on social media platforms:evidence from Facebook pages[J].Procedia computer science,2015,72:314-328.
[7] LIAO Q V, FU W T. Age differences in credibility judgments of online health information[M].New York:ACM,2014.
[8] FOGG B J, SOOHOO C, DANIELSON D R, et al. How do users evaluate the credibility of Web sites? a study with over 2,500 participants[M].NewYork:ACM,2003.
[9] BORAH P. The hyperlinked world:a look at how the interactions of news frames and hyperlinks influence news credibility and willingness to seek information[J].Journal of computer-mediated communication,2014,19(3):576-590.
[10] HUSSAIN S, AHMED W, JAFAR R M S, et al. EWOM source credibility, perceived risk and food product customer's information adoption[J].Computers in human behavior,2017,66(1):96-102.
[11] IKEGAMI Y, KAWAI K, NAMIHIRA Y, et al. Topic and opinion classification based information credibility analysis on Twitter[C]//IEEE international conference on systems, man, and cybernetics.Manchester:IEEE,2014.
[12] 冯晓硕.大数据时代信息可信度分析及可信度评估计算[C]//全国计算机信息管理学术研讨会.延吉:中国科学技术情报学会,2014:69-72.
[13] WU X, FENG Z, FAN W, et al. Detecting marionette microblog users for improved information credibility[J]. Berlin:Springer,2013:483-498.
[14] 蒋盛益,陈东沂,庞观松,等.微博信息可信度分析研究综述[J].图书情报工作,2013,57(12):136-142.
[15] 王平,程齐凯.网络信息可信度评估的研究进展及述评[J].信息资源管理学报,2013(1):46-52.
[16] LUCASSEN T, SCHRAAGEN J M. Factual accuracy and trust in information:the role of expertise[M].Hoboken:John Wiley & Sons,2011.
[17] METZGER M J, FLANAGIN A J. Credibility and trust of information in online environments:the use of cognitive heuristics[J].Journal of pragmatics,2013, 59(1/2):210-220.
[18] WATHEN C N, BURKELL J. Believe it or not:factors influencing credibility on the Web[J].Journal of the Association for Information Science & Technology,2002,53(2):134-144.
[19] MEYER P. Defining and measuring credibility of newspapers:developing an index[J].Journalism & mass communication quarterly,1988,65(3):567-574.
