A Text Analysis Based Method for Obtaining Credibility Assessment of Chinese Microblog Users

  • Zhaoyi MaEmail author
  • Qin GaoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10914)


Nowadays, social network platforms, such as Weibo have become important ways for people to get information. However, considering their ability to disseminate information quickly and widely, they also become breeding ground of rumors. Thus, the information credibility on Weibo has become a meaningful issue to be paid attention to. This research investigated on the process of rumors spreading and refuting, using a new method which can quantify users’ credibility assessment. The method was based on text analysis, designing weighted sum of words frequency as microblog’s credibility score. By this method, two significant processes related to rumor spreading, the credibility dissemination process of a microblog and the change of people’s credibility assessment towards a rumor, were investigated and assessed. Shown from the results some enlightenments about refuting rumors could be concluded. The findings are: (1) the designed method is reliable in some situation. Although it is a simple, rough classification method, it can find the credibility attitude the microblog expressed and help us finding essential users. (2) Popular individuals is important in the dissemination of credibility assessment in Weibo, they can easily convey their judgement. (3) The key to rumor refutation is not only timely reaction, but also wide and sustaining spread to form consensus. If the disputation is not continuous, people may forget it soon.


Language and culture in social computing and social media User generated content (wikis, blogs, etc.) Information credibility 


  1. Bollen, J., Pepe, A., Mao, H.: Modeling public mood and emotion: twitter sentiment and socioeconomic phenomena. Comput. Sci. 44(12), 2365–2370 (2009)Google Scholar
  2. Carlos, C., Marcelo, M., Barbara, P.: Predicting information credibility in time-sensitive social media. Internet Res. 23(5), 560–588 (2013)CrossRefGoogle Scholar
  3. Chaiken, S., Trope, Y.: Dual-process Theories in Social Psychology. Guilford Press, New York (1999)Google Scholar
  4. Krzysztof, L., Jacek, S.W., Michał, J.L., Amit, G.: Automated credibility assessment on twitter. Comput. Sci. 16(2), 157–168 (2015)CrossRefGoogle Scholar
  5. Petty, R.E., Cacioppo, J.T.: The elaboration likelihood model of persuasion. Adv. Exp. Soc. Psychol. 19(4), 123–205 (1986)CrossRefGoogle Scholar
  6. Petty, R.E., Cacioppo, J.T.: Attitudes and Persuasion: Classic and Contemporary Approaches. Westview Press, Boulder (1996)Google Scholar
  7. Rieh, S.Y.: Judgment of information quality and cognitive authority in the Web. J. Am. Soc. Inform. Sci. Technol. 53(2), 145–161 (2002)CrossRefGoogle Scholar
  8. Westerman, D., Spence, P.R., Van Der Heide, B.: Social network as information: the effect of system generated reports of connectedness on credibility on twitter. Comput. Hum. Behav. 28(1), 199–206 (2012)CrossRefGoogle Scholar
  9. 廖晨: 微博信息可信度的评判模型和可视化工具研究 (硕士论文). 清华大学, 清华大学 (2015)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Tsinghua UniversityPekingChina

Personalised recommendations