ABSTRACT
Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to contribute more content. However, user motivations for contribution in SNS are not well understood. This is particularly true for newcomers, who may not recognize the value of contribution. Using server log data from approximately 140,000 newcomers in Facebook, we predict long-term sharing based on the experiences the newcomers have in their first two weeks. We test four mechanisms: social learning, singling out, feedback, and distribution.
In particular, we find support for social learning: newcomers who see their friends contributing go on to share more content themselves. For newcomers who are initially inclined to contribute, receiving feedback and having a wide audience are also predictors of increased sharing. On the other hand, singling out appears to affect only those newcomers who are not initially inclined to share. The paper concludes with design implications for motivating newcomer sharing in online communities.
- Arguello, J., Butler, B., Joyce, E., Kraut R., Ling, K, Rosé, C., and Wang, X. Talk to me: foundations for successful individual-group interactions in online communities. In Proc. CHI 2006, ACM Press (2006), 959--968. Google ScholarDigital Library
- Bandura, A. Social Learning Theory. New York: General Learning Press, 1977.Google Scholar
- Bandura, A., Ross, D., and Ross, S. Transmission of aggression through imitation of aggressive models. Journal of Abnormal and Social Psychology, 63 (1961), 575--582.Google ScholarCross Ref
- Baumeister, R., and Leary, M. The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin 117, 3 (1995), 497--529.Google ScholarCross Ref
- Beenen, G., Ling, K., Wang, X., Chang, K., Frankowski, D., Resnick, P., and Kraut, R. Using social psychology to motivate contributions to online communities. In Proc. CSCW 2004, ACM Press (2004), 212--221. Google ScholarDigital Library
- Bierhoff, H. W. Prosocial Behavior. Psychology Press, 2002.Google Scholar
- boyd, danah. "Friendster and Publicly Articulated Social Networks." In Proc. CHI 2004. ACM Press (2004), 1279--1282. Google ScholarDigital Library
- Butler, B., Sproull, L, Kiesler, S., and Kraut, R.(2002). Community effort in online groups: Who does the work and why? Lawrence Erlbaum Associates, 2002.Google Scholar
- Centola, D. and Macy, M. Complex Contagions and the Weakness of Long Ties. American Journal of Sociology 113 (2007).Google Scholar
- Cheshire, C. Selective incentives and generalized information exchange. Social Psychology Quarterly, 70, 1 (2007), 89--100.Google ScholarCross Ref
- Chwe, M. S.-Y. Structure and Strategy in Collective Action. American Journal of Sociology 105, 1 (1999), 128--56.Google ScholarCross Ref
- Cialdini, R. B. Influence. New York: William Morrow and Company, 1984.Google Scholar
- Cosley, D., Frankowski, D., Terveen, L., and Riedl, J. SuggestBot: Using intelligent task routing to help people find work in Wikipedia. In Proc. IUI 2007, ACM Press (2007), 32--41. Google ScholarDigital Library
- Dixon, M. and Roscigno, D. Status, Networks and Social Movement Participation: The Case of Striking Workers. American Journal of Sociology 108, (2003), 1292--1327.Google ScholarCross Ref
- Donath, J. Signals in social supernets. Journal of Computer-Mediated Communication 13, 1 (2007).Google ScholarDigital Library
- Dwyer, C., Hiltz, S. R., and Passerini, K. Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace. In Proc. AMCIS 2007. http://csis.pace.edu/~dwyer/research/DwyerAMCIS2007.pdfGoogle Scholar
- Ellison, N., Steinfield, C., and Lampe, C. The benefits of Facebook "friends": Exploring the relationship between college students' use of online social networks and social capital. Journal of Computer-Mediated Communication, 12, 3 (2007).Google ScholarCross Ref
- Facebook Statistics. http://www.facebook.com/press/info.php?statisticsGoogle Scholar
- Ferster, C., and Skinner, B. Schedules of Reinforcement. Appleton-Century-Crofts, 1957.Google ScholarCross Ref
- Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2) 117--140.Google Scholar
- Fisher, D., Smith, M., Welser, H. You are who you talk to: Detecting roles in usenet newsgroups. In Proc. HICSS 2006, IEEE, 2006. Google ScholarDigital Library
- Gilbert, E., Karahalios, K., and Sandvig, C. 2008. The network in the garden: an empirical analysis of social media in rural life. In Proc. CHI 2008, ACM Press, (2008), 1603--1612. Google ScholarDigital Library
- Gould, R. Multiple Networks and Mobilization in the Paris Commune, 1871. American Sociological Review 56, 6 (1991), 716--729.Google ScholarCross Ref
- Gouldner, A. The norm of reciprocity: A preliminary statement. American Sociological Review 25, 2 (1960), 161--178.Google ScholarCross Ref
- Granovetter, M. Threshold Models of Collective Behavior. American Journal of Sociology 83, 6 (1978), 1420--1443.Google ScholarCross Ref
- Gross, R., Acquisti, A. Information revelation and privacy in online social networks. In Workshop on Privacy in the Electronic Society, 2005. Google ScholarDigital Library
- Hadoop Project. http://lucene.apache.org/hadoop/Google Scholar
- Hargittai, E. (2007). Whose space? Differences among users and non-users of social network sites. Journal of Computer-Mediated Communication, 13, 1, (2007).Google Scholar
- Heckman, J. Sample selection bias as a specification error, Econometrica, 47, (1979), 153--161.Google ScholarCross Ref
- Hertel, G., Niedner, S., and Herrmann, S. Motivation of software developers in open source projects: An internet-based survey of contributors to the linux kernel. Research Policy 32 (2003), 1159--1177.Google ScholarCross Ref
- Hocking, R. Collinearity in multiple regression. Chapter 5 of Methods and Applications of Linear Models: Regression and the Analysis of Variance. Hoboken, NJ: Wiley-Interscience, 2003.Google ScholarCross Ref
- Hogg, M. Social categorization, depersonalization, and group behavior. In M. Hogg.&T. S. Tinsdale. Blackwell Handbook of Social Psychology: Group Processes. Blackwell, Malden, MA, 2001, 57--85.Google Scholar
- Joinson, A. N. Looking at, looking up or keeping up with people?: motives and use of facebook. In Proc. CHI 2008. ACM Press (2008), 1027--1036. Google ScholarDigital Library
- Joyce, E. and Kraut, R. Predicting continued participation in newsgroups. Journal of Computer Mediated Communication 11 (2006).Google Scholar
- Lampe, C., Ellison, N.,&Steinfield, C. A Face(book) in the crowd: Social searching vs. social browsing. In Proc. CSCW 2006, ACM Press (2006), 167--170. Google ScholarDigital Library
- Lampe, C., Ellison, N.,&Steinfeld, C. (2007). A familiar Face(book): Profile elements as signals in an online social network. In Proc CHI 2007, ACM Press (2007), 435--444. Google ScholarDigital Library
- Lampe, C., and Johnston, E. Follow the (slash) dot: effects of feedback on new members in an online community. In Proc. GROUP 2005, ACM Press (2005), 11--20. Google ScholarDigital Library
- Macy, M. Chains of Cooperation: Threshold Effects in Collective Action. American Sociological Review 56 (1991), 730--747.Google ScholarCross Ref
- Marlow, C. Linking without thinking: Weblogs readership and online social capital formation. In Proceedings of the International Communication Association 2006 (Dresden, Germany, 2006).Google Scholar
- McAdam, D. Recruitment to High-Risk Activisim: The Case of Freedom Summer. American Journal of Sociology 92, 1 (1986), 64--90.Google ScholarCross Ref
- McAdam, D. and Paulsen, R. Specifying the Relationship between Social Ties and Activism. American Journal of Sociology 99, 3 (1993), 640--667.Google ScholarCross Ref
- Watts, D. A Simple Model of Global Cascades on Random Networks. In Proc. National Academy of Sciences 99 (2002), 5766--5771.Google ScholarCross Ref
Index Terms
- Feed me: motivating newcomer contribution in social network sites
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