Advertisement

Let’s Talk About Refugees: Network Effects Drive Contributor Attention to Wikipedia Articles About Migration-Related Topics

  • Jürgen Lerner
  • Alessandro Lomi
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 813)

Abstract

Contributions by voluntary users are one of the most crucial resources in the online encyclopedia Wikipedia. In this paper we propose relational event models to analyze dynamic network effects explaining the allocation of contributor attention to Wikipedia articles about migration-related topics. Among others, we test for the presence of a rich-get-richer effect in which articles edited by many users are likely to receive even more contributions in the future and uncover which users start working on less popular articles. We further analyze local clustering effects in which pairs of users tend to repeatedly collaborate on the same articles as well as interaction between contributions to encyclopedic articles and engagement in associated talk pages. We demonstrate that these network effects that regulate collaborative work in Wikipedia act over and above general popularity of the articles’ topics as revealed by the number of pageviews.

Keywords

Social network analysis Relational event model Online peer-production Attention Wikipedia 

Notes

Acknowledgements

This work has been supported by Swiss National Science Foundation (FNS Project Nr. 100018_150126) and Deutsche Forschungsgemeinschaft (DFG Grant Nr. LE 2237/2-1).

References

  1. 1.
    Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Benkler, Y., Shaw, A., Hill, B.M.: Peer Production: A Form of Collective Intelligence. MIT Press, Cambridge (2015)Google Scholar
  3. 3.
    Borgan, Ø., Goldstein, L., Langholz, B.: Methods for the analysis of sampled cohort data in the Cox proportional hazards model. Ann. Stat. 23, 1749–1778 (1995)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Brandes, U., Lerner, J., Snijders, T.A.: Networks evolving step by step: statistical analysis of dyadic event data. In: Proceedings of 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM), pp. 200–205. IEEE (2009)Google Scholar
  5. 5.
    Butts, C.T.: A relational event framework for social action. Sociol. Methodol. 38(1), 155–200 (2008)CrossRefGoogle Scholar
  6. 6.
    Cox, D.: Regression models and life-tables. J. Royal Stat. Soc. Ser. B (Methodological) 34(2), 187–220 (1972)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Foucault Welles, B., Vashevko, A., Bennett, N., Contractor, N.: Dynamic models of communication in an online friendship network. Commun. Methods Meas. 8(4), 223–243 (2014)CrossRefGoogle Scholar
  8. 8.
    Georgescu, M., Pham, D.D., Kanhabua, N., Zerr, S., Siersdorfer, S., Nejdl, W.: Temporal summarization of event-related updates in Wikipedia. In: Proceedings of the 22nd International Conference World Wide Web, pp. 281–284. ACM (2013)Google Scholar
  9. 9.
    Gómez, V., Kappen, H.J., Litvak, N., Kaltenbrunner, A.: A likelihood-based framework for the analysis of discussion threads. World Wide Web 16(5–6), 645–675 (2013)CrossRefGoogle Scholar
  10. 10.
    von Hippel, E., von Krogh, G.: Open source software and the “private-collective” innovation model: issues for organization science. Organ. Sci. 14(2), 209–223 (2003)CrossRefGoogle Scholar
  11. 11.
    von Hippel, E., von Krogh, G.: Free revealing and the private-collective model for innovation incentives. R&D Manag. 36(3), 295–306 (2006)CrossRefGoogle Scholar
  12. 12.
    Kaltenbrunner, A., Laniado, D.: There is no deadline: time evolution of Wikipedia discussions. In: Proceedings of the 8th Annual International Symposium on Wikis and Open Collaboration. ACM (2012)Google Scholar
  13. 13.
    Karimi, F., Bohlin, L., Samoilenko, A., Rosvall, M., Lancichinetti, A.: Mapping bilateral information interests using the activity of Wikipedia editors. Palgrave Commun. 1 (2015)Google Scholar
  14. 14.
    Keegan, B., Gergle, D., Contractor, N.: Do editors or articles drive collaboration? Multilevel statistical network analysis of Wikipedia coauthorship. In: Proceedings of 2012 Conference on Computer Supported Cooperative Work, pp. 427–436. ACM (2012)Google Scholar
  15. 15.
    Keegan, B., Gergle, D., Contractor, N.: Staying in the loop: Structure and dynamics of Wikipedia’s breaking news collaborations. In: Proceedings of the 8th Annual International Symposium on Wikis and Open Collaboration. ACM (2012)Google Scholar
  16. 16.
    Keegan, B.C., Lev, S., Arazy, O.: Analyzing organizational routines in online knowledge collaborations: a case for sequence analysis in cscw. In: Proceedings of the 19th Conference on Computer-Supported Cooperative Work & Social Computing, pp. 1065–1079. ACM (2016)Google Scholar
  17. 17.
    Lawless, J.F.: Statistical Models and Methods for Lifetime. Data. Wiley (2003)Google Scholar
  18. 18.
    Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A.L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., Van Alstyne, M.: Computational social science. Science 323(5915), 721–723 (2009)CrossRefGoogle Scholar
  19. 19.
    Leenders, R.T.A., Contractor, N.S., DeChurch, L.A.: Once upon a time: understanding team processes as relational event networks. Organ. Psychol. Rev. 6(1), 92–115 (2016)Google Scholar
  20. 20.
    Lerner, J., Lomi, A.: The third man: hierarchy formation in Wikipedia. Appl. Netw. Sci. 2(1), 24 (2017)CrossRefGoogle Scholar
  21. 21.
    Lerner, J., Lomi, A.: Knowledge categorization affects popularity and quality of Wikipedia articles. PloS one 13(1), e0190,674 (2018)CrossRefGoogle Scholar
  22. 22.
    Lerner, J., Tirole, J.: The open source movement: key research questions. Eur. Econ. Rev. 45(4), 819–826 (2001)CrossRefGoogle Scholar
  23. 23.
    Maddock, J., Shaw, A., Gergle, D.: Talking about talk: coordination in large online communities. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 1869–1876. ACM (2017)Google Scholar
  24. 24.
    Moat, H.S., Curme, C., Avakian, A., Kenett, D.Y., Stanley, H.E., Preis, T.: Quantifying wikipedia usage patterns before stock market moves. Sci. Rep. 3, 1801 (2013)CrossRefGoogle Scholar
  25. 25.
    Pilny, A., Schecter, A., Poole, M.S., Contractor, N.: An illustration of the relational event model to analyze group interaction processes. Group Dyn.: Theory, Res. Pract. 20(3), 181 (2016)CrossRefGoogle Scholar
  26. 26.
    Romero, D.M., Huttenlocher, D., Kleinberg, J.M.: Coordination and efficiency in decentralized collaboration. In: ICWSM, pp. 367–376 (2015)Google Scholar
  27. 27.
    Salganik, M.J., Dodds, P.S., Watts, D.J.: Experimental study of inequality and unpredictability in an artificial cultural market. Science 311(5762), 854–856 (2006)CrossRefGoogle Scholar
  28. 28.
    Schecter, A., Contractor, N.: Understanding and assessing collaborative processes through relational events. In: Innovative Assessment of Collaboration, pp. 223–231. Springer (2017)Google Scholar
  29. 29.
    Stroud, N.J.: Attention as a valuable resource. Polit. Commun. 34(3), 479–489 (2017)CrossRefGoogle Scholar
  30. 30.
    Therneau, T.M., Grambsch, P.M.: Modeling Survival Data: Extending the Cox Model. Springer Science & Business Media (2013)Google Scholar
  31. 31.
    Viegas, F.B., Wattenberg, M., Kriss, J., Van Ham, F.: Talk before you type: coordination in Wikipedia. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (HICSS 2007), p. 78a. IEEE (2007)Google Scholar
  32. 32.
    Vu, D., Pattison, P., Robins, G.: Relational event models for social learning in moocs. Soc. Netw. 43, 121–135 (2015)CrossRefGoogle Scholar
  33. 33.
    Webster, J.G.: The Marketplace of Attention: How Audiences Take Shape in a Digital Age. MIT Press, Boca Raton (2014)Google Scholar
  34. 34.
    Wu, T.: The attention merchants: The epic scramble to get inside our heads. Vintage (2017)Google Scholar
  35. 35.
    Yasseri, T., Sumi, R., Kertész, J.: Circadian patterns of wikipedia editorial activity: a demographic analysis. PloS one 7(1), e30,091 (2012)CrossRefGoogle Scholar
  36. 36.
    Zhu, M., Huang, Y., Contractor, N.S.: Motivations for self-assembling into project teams. Soc. Netw. 35(2), 251–264 (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of KonstanzKonstanzGermany
  2. 2.University of LuganoLuganoSwitzerland

Personalised recommendations