The Effects of Multi-identity on One's Psychological State and the Quality of Contribution in Virtual Communities: A Socio-Psychological Perspective

  • Published : 2010.03.31

Abstract

In a virtual community, one can possess multiple identities and pretend to be different by creating self-identity in contrast with his or her actual self. Does false identity undermine the qualitative growth of a virtual community by reducing members' accountability? Or does it stimulate their contributive behaviors by ensuring freedom of speech? It is imperative to understand the effects of multi-identity considering the distinct properties of a virtual community in which people easily change their identities at little or no cost. To answer these questions, we adopted the concept of self-discrepancy from the social psychology theory rooted in the concept of the self and developed a theoretical model to predict quality of contribution of the individual member in virtual communities. Based on the self-discrepancy theory, we first identified two different domains of the self: (1) an "actual self" that consists of attributes that the person believes he or she currently possesses in real life and (2) a "cyber self" that consists of attributes the person believes he or she possesses in a virtual community. Next, we derived an index for two different types of self-discrepancy by using the differences between the actual and the cyber identities: Personal Self-discrepancy and Social Self-discrepancy. Personal Self-discrepancy reflects the degree of discrepancy between actual and cyber identity regarding a person's intelligence, education, and expertise. Social Self-discrepancy reflects the degree of discrepancy between actual and cyber identity regarding a person's morality, sociability, and accordance with social norms. Finally, we linked them with sense of virtual community, perceived privacy rights, and quality of contribution to examine how having a multi-identity influences an individual's psychological state and contributive behaviors in a virtual community. The results of the analysis based on 266 respondents showed that Social Self-discrepancy negatively influenced both the Sense of Virtual Community and Perceived Privacy Rights, while Personal Self-discrepancy negatively influenced only Perceived Privacy Rights, thereby resulting in reduced quality of contribution in virtual communities. Based on the results of this analysis, we can explain the dysfunctions of multi-identity in virtual communities. First, people who pretend to be different by engaging in socially undesirable behaviors under their alternative identities are more likely to suffer lower levels of psychological wellbeing and thus experience lower levels of sense of virtual community than others. Second, people do not perceive a high level of privacy rights reflecting catharsis, recovery, or autonomy, even though they create different selves and engage in socially undesirable behaviors in a virtual community. Third, people who pretend to be different persons in terms of their intelligence, education, or expertise also indirectly debase the quality of contribution by decreasing perceived privacy rights. The results suggest that virtual community managers should pay more attention to the negative influences exercised by multi-identity on the quality of contribution, thereby controlling the need to create alternative identities in virtual communities. We hope that more research will be conducted on this underexplored area of multi-identity and that our theoretical framework will serve as a useful conceptual tool for all endeavors.

Keywords

Acknowledgement

Supported by : Korea Research Foundation

References

  1. Anderson, J.C. and Gerbing, D.w., "Structural Equation Modeling in Practice: A Review and Recommended Two-step Approach," Psychological Bulletin, Vol. 103, 1988, pp. 411-423. https://doi.org/10.1037/0033-2909.103.3.411
  2. Bandura, A., Social Foundations of Thought and Action: A Social Cognitive Theory, Englewood Cliffs, NJ: Prentice Hall, 1986.
  3. Bandura, A., "Human Agency in Socialcognitive Theory," American Psychologist, Vol. 44, 1989, pp. 1175-1184. https://doi.org/10.1037/0003-066X.44.9.1175
  4. Barclay, D., Higgins, C., and Thompson, R., "The Partial Least Squares (PLS) Approach to Causal Modeling, Personal Computer Adoption and Use as an Illustration," Technology Studies, Vol. 2, No. 2, 1995, pp. 285-309.
  5. Boldero, J. and Francis, J., "The Relation between Self-discrepancies and Emotion: The moderating Roles of Self-guide Importance, Location, Relevance, and Social Selfdomain Centrality," Journal of Personality and Social Psychology, Vol. 78, 2000, pp. 38- 52. https://doi.org/10.1037/0022-3514.78.1.38
  6. Blanchard, A. and Markus, M.L., "The Experienced "Sense" of Virtual Community: Characteristics and Processes," Database for Advances in Information Systems, Vol. 35, No.1, 2004, pp. 65-78. https://doi.org/10.1145/1007965.1007971
  7. Carver, C.S. and Scheier, M.F., On the Self-regulation of Behavior: New York, Cambridge University Press, 1998.
  8. Chin, W.W., "Issues and Opinion on Structural Equation Modeling," MIS Quarterly, Vol. 22, No. 1, 1998, pp. VII-XVI.
  9. Chiu, C.M., Hsu, M.H., and Wang, T.G., "Understanding Knowledge Sharing in Virtual Communities: An Integration of Social Capital and Social Cognitive Theories," Decision Support Systems, Vol. 42, 2006, pp. 1872-1888. https://doi.org/10.1016/j.dss.2006.04.001
  10. Constant, D.L., Sproull, L., and Kiesler, S., "The Kindness of Strangers: The Usefulness of Electronic Weak Ties for Technical Advice," Organization Science, Vol. 7, No. 2, 1996, pp. 119-135. https://doi.org/10.1287/orsc.7.2.119
  11. Csikszentmihalyi, M., Beyond Boredom and Anxiety: Experiencing Flow in Work and Play, San Francisco: Jossey-Bass, 1975.
  12. Dellarocas, C., "The Digitization of Word of Mouth: Premise and Challenges of Online Feedback Mechanisms," Management Science, Vol. 49, No. 10, 2003, pp. 1407-1424. https://doi.org/10.1287/mnsc.49.10.1407.17308
  13. Dennis, A.R., "Information Exchange and Use in Group Decision Making: You Can Lead a Group to Information, but You Can't Make It Think," MIS Quarterly, Vol. 20, 1996, pp. 433-457. https://doi.org/10.2307/249563
  14. DeSanctis, G. and Gallupe, R.B., "A foundation for the study of group decision support systems," Management Science, Vol. 33, 1987, pp. 589-609. https://doi.org/10.1287/mnsc.33.5.589
  15. Donath, J.S., Identity and Deception in the Virtual Community, Smith, M.A., and Kollock, S.P. (eds.), Communities in Cyberspace, Routledge, New York, 1999, pp. 25-59.
  16. Doty, D.H. and Glick, W.H., "Common Methods Bias: Does Common Methods Variables Really Bias Results?," Organization Research Methods, Vol. 1, 1998, pp. 374-406. https://doi.org/10.1177/109442819814002
  17. Flanagin, A.J., Tiyaamoronwong, V., O' connor, J., and Seibold, D.R., "Computermediated Group Work: The Interaction of Member Sex and Anonymity," Communication Research, Vol. 29, 2002, pp. 66-93. https://doi.org/10.1177/0093650202029001004
  18. Fornell, C. and Larcker, D.F., "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research, Vol. 18, No. 1, 1981, pp. 39-50. https://doi.org/10.2307/3151312
  19. Franzio, S.L., Social Psychology, Madison: Brown and Bench Mark, 1996.
  20. Higgins, E.T., "Self-discrepancy: A theory relating self and affect," Psychological Review, Vol. 94, 1987, pp. 319-340. https://doi.org/10.1037/0033-295X.94.3.319
  21. Higgins, E.T., Self-discrepancy Theory: What patterns of Self-Beliefs Cause People to Suffer? In L. Berkowitz (Ed.), Advances in Experimental Social Psychology, New York: Academic Press, Vol. 22, 1987, pp. 93-136.
  22. Higgins, E.T., Self-Discrepancy: A Theory Relating Self and Affect, In R.F. Baumeister (Ed.), The Self in Social Psychology, Philadelphia, PA: Psychology Press, 1999, pp. 150-181.
  23. Hong, S.Y., Social Psychology, SigmaPress, Seoul, 2008.
  24. Howell, J.M. and Higgins, C.A., "Champions of Technological Innovation," Administrative Science Quarterly, Vol. 35, No. 2, 1990, pp. 317-341. https://doi.org/10.2307/2393393
  25. Kihlstorm, J.F. and Cantor, N., Mental Representations of the Self, In L. Berkowiz (Ed.), Advances in Experimental Social Psychology, New York: Academic Press, Vol. 17, 1984, pp. 1-47.
  26. Koh, J. and Kim, Y., "Sense of Virtual Community: A Conceptual Framework and Empirical Validation," International Journal of Electronic Commerce, Vol. 8, No. 2, 2003, pp. 75-93.
  27. Larry, H., A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Cary, NC: SAS Institute Inc, 1994.
  28. Ma, M. and Agarwal, R., "Through a Glass Darkely: Information Technology Design, Identity Verification, and Knowledge Contribution in Online Communities," Information Systems Research, Vol. 18, No. 1, 2007, pp. 42-67. https://doi.org/10.1287/isre.1070.0113
  29. Markus, H., "Self-schemata and Processing Information about the Self," Journal of Personality and Psychology, Vol. 17, 1977, pp. 50-71.
  30. Marsh, H.W., Smith, I.D., and Barnes, J., "Multitrait-multimethod Analyses of the Self-Description Questionnaire: Studentteacher Agreement on Multidimensional Ratings of Student Self-concept," American Education Research Journal, Vol. 20, 1983, pp. 333-357. https://doi.org/10.3102/00028312020003333
  31. Marsh, H.W., Parker, J., and Barnes, J., "Multidimensional Adolescent Self-concept: Their Relationship to Age, Sex, and Academic Measures," American Education Research Journal, Vol. 22, 1985, pp. 422-444. https://doi.org/10.3102/00028312022003422
  32. McMillan, D.W. and Chavis, D.M., "Sense of Community: A definition and Theory," Journal of Community Psychology, Vol. 14, No.1, 1986, pp. 6-23. https://doi.org/10.1002/1520-6629(198601)14:1<6::AID-JCOP2290140103>3.0.CO;2-I
  33. Oppenheim, A.N., Questionnaire Design and Attitude Measurement, Heinemann, London, UK.
  34. Pedersen, D.M., "Psychological Functions of Privacy," Journal of Environmental Psychology, Vol. 17, 1997, pp. 147-156. https://doi.org/10.1006/jevp.1997.0049
  35. Peddibhotla, N.B. and Subramani, M.R., "Contributing to Public Document Repositories: A Critical Mass Theory Perspective," Organization Studies, Vol. 28, No. 3, 2009, pp. 327-346.
  36. Podsakoff, P.M. and Organ, D.W., "Self Reports in Organizational Research: Problems and Prospects," Journal of Management, Vol. 12, No. 4, pp. 531-544.
  37. Postmes, T. and Lea, M., "Social Pressures and Group Decision Making: Anonymity in Group Decision Support Systems," Ergonomics, Vol. 43, 2000, pp. 1252-1274. https://doi.org/10.1080/00140130050084978
  38. Rachels, J., "Why Privacy is Important," Philosophy and Public Affairs, Vol. 4, 1975, pp. 323-333.
  39. Rains, S.A., "The Impact of Anonymity on Perceptions of Source Credibility and Influence in Computer-Mediated Group Communication," Communication Research, Vol. 34, No. 1, 2007, pp. 100-125. https://doi.org/10.1177/0093650206296084
  40. Schafer, R., Wickrama, K., and Keith, P., "Self-Concept Disconfirmation, Psychological Distress, and Marital Hapiness," Journal of Marriage and Family, Vol. 59, 1996, pp. 167-177.
  41. Scott, L. and O'Hara, M.W., "Self-discrepancies in Clinically Anxious and Depressed University Students," Journal of Abnormal Psychology, Vol. 102, 1993, pp. 282-287. https://doi.org/10.1037/0021-843X.102.2.282
  42. Swann, W.B., Self-verification: Bring Social Reality into Harmony with the Self, Suhls, J., and Greenwald, A.G. (eds.), Social Psychological Perspectives on the Self, Erlbaum, Hillsdale, NJ, 1983, pp. 33-66.
  43. Teigland, R. and Wasko, M., "Integrating Knowledge through Information Trading: Examining the Relationship between Boundary Spanning Communication and Individual Performance," Decision Science, Vol. 34, No. 2, pp. 261-286.
  44. Valacich, J.S., Dennis, A.R., and Nunamaker, J.F., "Group Size and Anonymity Effects on Computer-mediated Idea Generation," Small Group Research, Vol. 23, 1992, pp. 49-73. https://doi.org/10.1177/1046496492231004
  45. Valacichi, J.S., Jessup, L.M., Dennis, A.R., and Nunamaker, J.F., "A Conceptual Framework of Anonymity in Group Support Systems," Group Decision and Negotiations, Vol. 1, 1992, pp. 219-241. https://doi.org/10.1007/BF00126264
  46. Wasko, M.M. and Faraj, S., "Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice," MIS Quarterly, Vol. 29, No. 1, 2005, pp. 35-57. https://doi.org/10.2307/25148667
  47. Whitbourne, S.K. and Connolly, A., The Developing Self in Middle: Psychological and Social Development in Middle Age. Academic Press, New York, 1999.
  48. Yoo, Y. and Alavi, M., "Media and Group Cohesion: Relative Influences on Social Presence, Task Participation, and Group Consensus," MIS Quarterly, Vol. 25, No. 3, 2001, pp. 371-390. https://doi.org/10.2307/3250922