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Self-Report Versus Web-Log: Which One is Better to Predict Personality of Website Users?

Author

Listed:
  • Ang Li

    (Institute of Psychology, Chinese Academy of Sciences, Beijing, China & School of Computer and Control, University of Chinese Academy of Sciences, Beijing, China)

  • Zheng Yan

    (Educational Psychology and Methodology Division, University at Albany (SUNY), Albany, NY, USA)

  • Tingshao Zhu

    (Institute of Psychology, Chinese Academy of Sciences, Beijing, China)

Abstract

Number of studies have investigated the relationship between personality and web use behaviors on Social Network Sites (SNS), and the measurement of web use behaviors relies on self-report technique. In this study, the authors investigated the correlation between self-report and web-log measures of web use behaviors, and further examined which one would be better to predict user’s personality. There are two major findings: (a) a diverse relationship exists between self-report and web-log measures of web use behaviors; (b) web-log data is a better predictor of user’s personality than self-report data. It suggests that such two sets of data (self-report and web-log) should be treated differently, and it is suitable to predict user’s personality using web-log data.

Suggested Citation

  • Ang Li & Zheng Yan & Tingshao Zhu, 2013. "Self-Report Versus Web-Log: Which One is Better to Predict Personality of Website Users?," International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), IGI Global, vol. 3(4), pages 44-54, October.
    • Handle: RePEc:igg:jcbpl0:v:3:y:2013:i:4:p:44-54
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