Feed me: motivating newcomer contribution in social network sites

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.

[1]  Mark S. Granovetter.  Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[2]  A. Bandura,et al.  Developmental psychology : Bandura , Ross and Ross ( 1961 ) Transmission of aggression through imitation of aggressive models , 2015 .

[3]  Eric Gilbert,et al.  The network in the garden: an empirical analysis of social media in rural life , 2008, CHI.

[4]  Doug McAdam,et al.  Specifying the Relationship Between Social Ties and Activism , 1993, American Journal of Sociology.

[5]  S. Thompson.  Social Learning Theory , 2008 .

[6]  Cameron A. Marlow.  Linking without thinking : Weblogs , readership , and online social capital formation , 2006 .

[7]  Guido Hertel,et al.  Motivation of software developers in Open Source projects: an Internet-based survey of contributors to the Linux kernel , 2003 .

[8]  M. Chwe.  Structure and Strategy in Collective Action1 , 1999, American Journal of Sociology.

[9]  A. Gouldner.  THE NORM OF RECIPROCITY: A PRELIMINARY STATEMENT * , 1960 .

[10]  Cliff Lampe,et al.  A face(book) in the crowd: social Searching vs. social browsing , 2006, CSCW '06.

[11]  L. Festinger.  A Theory of Social Comparison Processes , 1954 .

[12]  Danah Boyd,et al.  Friendster and publicly articulated social networking , 2004, CHI EA '04.

[13]  C. B. Ferster,et al.  Schedules of reinforcement , 1957 .

[14]  Alessandro Acquisti,et al.  Information revelation and privacy in online social networks , 2005, WPES '05.

[15]  Doug McAdam.  Recruitment to High-Risk Activism: The Case of Freedom Summer , 1986, American Journal of Sociology.

[16]  Starr Roxanne Hiltz,et al.  Trust and Privacy Concern Within Social Networking Sites: A Comparison of Facebook and MySpace , 2007, AMCIS.

[17]  Robert E. Kraut,et al.  Predicting Continued Participation in Newsgroups , 2006, J. Comput. Mediat. Commun..

[18]  R. R. Hocking.  Methods and Applications of Linear Models: Regression and the Analysis of Variance , 2003 .

[19]  John Riedl,et al.  SuggestBot: using intelligent task routing to help people find work in wikipedia , 2007, IUI '07.

[20]  Michael A. Hogg,et al.  Blackwell Handbook of Social Psychology: Group Processes , 2001 .

[21]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[22]  Adam N. Joinson,et al.  Looking at, looking up or keeping up with people?: motives and use of facebook , 2008, CHI.

[23]  J. Heckman.  Sample selection bias as a specification error , 1979 .

[24]  Duncan J Watts,et al.  A simple model of global cascades on random networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Coye Cheshire.  Selective Incentives and Generalized Information Exchange , 2007 .

[26]  Eszter Hargittai,et al.  Whose Space? Differences Among Users and Non-Users of Social Network Sites , 2007, J. Comput. Mediat. Commun..

[27]  Cliff Lampe,et al.  Follow the (slash) dot: effects of feedback on new members in an online community , 2005, GROUP.

[28]  Roger V. Gould.  MULTIPLE NETWORKS AND MOBILIZATION IN THE PARIS COMMUNE, 1871* , 1991 .

[29]  S. Kiesler,et al.  Community Effort in Online Groups: Who Does the Work and Why? , 2007 .

[30]  M. Macy.  Chains of Cooperation: Threshold Effects in Collective Action , 1991 .

[31]  Carolyn Penstein Rosé,et al.  Talk to me: foundations for successful individual-group interactions in online communities , 2006, CHI.

[32]  Marc Dixon,et al.  Status, Networks, and Social Movement Participation: The Case of Striking Workers1 , 2003, American Journal of Sociology.

[33]  Xin Li,et al.  Using Social Psychology to Motivate Contributions to Online Communities , 2005, J. Comput. Mediat. Commun..

[34]  R. Baumeister,et al.  The need to belong: desire for interpersonal attachments as a fundamental human motivation. , 1995, Psychological bulletin.

[35]  Marisa E. Campbell.  CHI 2004 , 2004, INTR.

[36]  M. Macy,et al.  Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.

[37]  Judith Donath,et al.  Signals in Social Supernets , 2007, J. Comput. Mediat. Commun..

[38]  Danyel Fisher,et al.  You Are Who You Talk To: Detecting Roles in Usenet Newsgroups , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[39]  Michael A. Hogg,et al.  Social Categorization, Depersonalization, and Group Behavior , 2008 .

[40]  Cliff Lampe,et al.  A familiar face(book): profile elements as signals in an online social network , 2007, CHI.