Susceptibility of Users to Social Influence Strategies and the Influence of Culture in a Q&A Collaborative Learning Environment

Q&A collaborative learning environments such as Stack Overflow are more effective when its users actively participate by asking one another for information, providing good answers to existing questions, and evaluating others. One way to encourage participation is to allow cooperation between users in order to improve question and answer posts and allow users to learn from one another. Research has shown that cooperation between users results in high quality question and answer posts which are required to keep the network active. In order to better understand what influences users to cooperate, we investigate the susceptibility of users to social support influence principles in a Q&A collaborative learning environment, and what factors persuade users to keep using the network. Using Stack Overflow as a case study and a sample size of 282 Stack Overflow users, we develop and test a global research model using partial least-squares structural equation modelling (PLS-SEM) analysis. We further investigate any possible differences in the effect of these social support strategies between cultures by testing two cultural subgroups for collectivist and individualist cultures. Our results show that of all the constructs measured, only social learning significantly influences cooperation in Stack Overflow at the global level. However, at the cultural subgroup level, recognition influences collectivists to cooperate, while social facilitation influences individualists to cooperate. These findings suggest possible design guidelines in the development of Q&A collaborative learning environments that encourage participation through cooperation.

[1]  Yuriy Gorodnichenko,et al.  Understanding the Individualism-Collectivism Cleavage and Its Effects: Lessons from Cultural Psychology , 2012 .

[2]  Harri Oinas-Kukkonen,et al.  Persuasive system design: state of the art and future directions , 2009, Persuasive '09.

[3]  Shigeo Matsubara,et al.  Editing Unfit Questions in Q&A , 2016, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

[4]  David W. McDonald,et al.  Recommending collaboration with social networks , 2003, CHI 2003.

[5]  Ifeoma Adaji,et al.  Modelling User Collaboration in Social Networks Using Edits and Comments , 2016, UMAP.

[6]  Idan Szpektor,et al.  Churn prediction in new users of Yahoo! answers , 2012, WWW.

[7]  Siddharth Suri,et al.  Conducting behavioral research on Amazon’s Mechanical Turk , 2010, Behavior research methods.

[8]  Harri Oinas-Kukkonen,et al.  Using Social Influence for Motivating Customers to Generate and Share Feedback , 2014, PERSUASIVE.

[9]  Ji-Hong Park,et al.  The effects of personalization on user continuance in social networking sites , 2014, Inf. Process. Manag..

[10]  Michael Hemesath,et al.  Cooperation and Culture: Students From China and the United States in a Prisoner's Dilemma , 1998 .

[11]  M. Harjumaa,et al.  A Systematic Framework for Designing and Evaluating Persuasive Systems , 2008, PERSUASIVE.

[12]  James Noble,et al.  Our Place or Mine? Exploration into Collectivism-Focused Persuasive Technology Design , 2006, PERSUASIVE.

[13]  Ifeoma Adaji,et al.  Persuasive Patterns in Q&A Social Networks , 2016, PERSUASIVE.

[14]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[15]  Alon Y. Halevy,et al.  Crowdsourcing systems on the World-Wide Web , 2011, Commun. ACM.

[16]  G. Hofstede Culture′s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations , 2001 .

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

[18]  Ken Kwong-Kay Wong,et al.  Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS , 2013 .

[19]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[20]  Steven Hornik,et al.  Culture's Impact on Technology Mediated Learning: The Role of Horizontal and Vertical Individualism and Collectivism , 2006, J. Glob. Inf. Manag..

[21]  Stephen R. Wilson,et al.  The effects of self-esteem and situation upon comparison choices during ability evaluation. , 1971 .

[22]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[23]  Henrik Schoenau-Fog Teaching Serious Issues through Player Engagement in an Interactive Experiential Learning Scenario , 2012 .

[24]  Jure Leskovec,et al.  Steering user behavior with badges , 2013, WWW.

[25]  Carl A. Kallgren,et al.  A Focus Theory of Normative Conduct: A Theoretical Refinement and Reevaluation of the Role of Norms in Human Behavior , 1991 .

[26]  David W. McDonald,et al.  Recommending collaboration with social networks: a comparative evaluation , 2003, CHI '03.

[27]  M. Mead Co-Operation and Competition among Primitive Peoples , 1937 .

[28]  Jure Leskovec,et al.  Discovering value from community activity on focused question answering sites: a case study of stack overflow , 2012, KDD.

[29]  M. Deutsch,et al.  A study of normative and informational social influences upon individual judgement. , 1955, Journal of abnormal psychology.

[30]  Shengrui Wang,et al.  Identifying authoritative actors in question-answering forums: the case of Yahoo! answers , 2008, KDD.

[31]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .