Advertisement

Deep Dive into Anonymity: Large Scale Analysis of Quora Questions

  • Binny MathewEmail author
  • Ritam Dutt
  • Suman Kalyan Maity
  • Pawan Goyal
  • Animesh Mukherjee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11864)

Abstract

Anonymity forms an integral and important part of our digital life. It enables us to express our true selves without the fear of judgment. In this paper, we investigate the different aspects of anonymity in the social Q&A site Quora. Quora allows users to explicitly post anonymous questions and such activity in this forum has become normative rather than a taboo. Through an analysis of millions of questions, we observe that at a global scale almost no difference manifests between the linguistic structure of the anonymous and the non-anonymous questions posted on Quora. We find that topical mixing at the global scale to be the primary reason for the absence. However, the differences start to feature once we “deep dive” and (topically) cluster the questions and compare them. In particular, we observe that the choice to post the question as anonymous is dependent on the user’s perception of anonymity and they often choose to speak about depression, anxiety, social ties and personal issues under the guise of anonymity. Subsequently, to gain further insights, we build an anonymity grid to identify the differences in the perception on anonymity of the user posting the question and the community of users answering it. We also look into the first response time of the questions and observe that it is lowest for topics which talk about personal and sensitive issues, which hints toward a higher degree of community support.

Keywords

Quora Q&A Anonymity Response rate 

References

  1. 1.
    Bernstein, M.S., Monroy-Hernández, A., Harry, D., André, P., Panovich, K., Vargas, G.G.: 4chan and/b: an analysis of anonymity and ephemerality in a large online community. In: ICWSM, pp. 50–57 (2011)Google Scholar
  2. 2.
    Birnholtz, J., Merola, N.A.R., Paul, A.: Is it weird to still be a virgin: anonymous, locally targeted questions on facebook confession boards. In: CHI, pp. 2613–2622. ACM (2015)Google Scholar
  3. 3.
    Cohen, J.: Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Routledge, Abingdon (1988)zbMATHGoogle Scholar
  4. 4.
    Correa, D., Silva, L.A., Mondal, M., Benevenuto, F., Gummadi, K.P.: The many shades of anonymity: characterizing anonymous social media content. In: ICWSM, pp. 71–80 (2015)Google Scholar
  5. 5.
    De Choudhury, M., De, S.: Mental health discourse on reddit: self-disclosure, social support, and anonymity. In: ICWSM, pp. 71–80 (2014)Google Scholar
  6. 6.
    Faber, J., Fonseca, L.M.: How sample size influences research outcomes. Dent. Press J. Orthod. 19(4), 27–29 (2014)CrossRefGoogle Scholar
  7. 7.
    Huang, Z., Thint, M., Qin, Z.: Question classification using head words and their hypernyms. In: EMNLP, pp. 927–936. ACL (2008)Google Scholar
  8. 8.
    Hutto, C.J., Gilbert, E.: Vader: a parsimonious rule-based model for sentiment analysis of social media text. In: ICWSM (2014)Google Scholar
  9. 9.
    Li, F., Zhang, X., Yuan, J., Zhu, X.: Classifying what-type questions by head noun tagging. In: ACL, pp. 481–488 (2008)Google Scholar
  10. 10.
    Maity, S.K., Kharb, A., Mukherjee, A.: Language use matters: analysis of the linguistic structure of question texts can characterize answerability in Quora. In: ICWSM, pp. 612–615 (2017)Google Scholar
  11. 11.
    Maity, S.K., Kharb, A., Mukherjee, A.: Analyzing the linguistic structure of question texts to characterize answerability in Quora. IEEE Trans. Comput. Soc. Syst. 5(3), 816–828 (2018)CrossRefGoogle Scholar
  12. 12.
    Maity, S.K., Sahni, J.S.S., Mukherjee, A.: Analysis and prediction of question topic popularity in community Q&A sites: a case study of Quora. In: ICWSM, pp. 238–247 (2015)Google Scholar
  13. 13.
    Paskuda, M., Lewkowicz, M.: Anonymous Quorans are still Quorans, just anonymous. In: 7th International Conference on Communities and Technologies, pp. 9–18. ACM (2015)Google Scholar
  14. 14.
    Patil, S., Lee, K.: Detecting experts on Quora: by their activity, quality of answers, linguistic characteristics and temporal behaviors. Soc. Netw. Anal. Min. 6(1), 5 (2016)CrossRefGoogle Scholar
  15. 15.
    Wang, G., Gill, K., Mohanlal, M., Zheng, H., Zhao, B.Y.: Wisdom in the social crowd: an analysis of Quora. In: WWW, pp. 1341–1352. ACM (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Binny Mathew
    • 1
    Email author
  • Ritam Dutt
    • 1
  • Suman Kalyan Maity
    • 2
  • Pawan Goyal
    • 1
  • Animesh Mukherjee
    • 1
  1. 1.Indian Institute of Technology KharagpurKharagpurIndia
  2. 2.Northwestern UniversityEvanstonUSA

Personalised recommendations