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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Economics and Business

Quarterly Reviews

ISSN 2775-9237 (Online)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
open access

Published: 19 October 2020

Exploring the Impact of User Personality and Self-Disclosure on the Continuous Use of Social Media

Yu-Ping Lee, Hsin-yeh Tsai, Jheng-Sian Wu

Shu-Te University (Taiwan), National Kaohsiung University of Science and Technology (Taiwan)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, management journal

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Pages: 1324-1343

Keywords: Social Media, Big Five Personality Traits, Self-Disclosure, Continuance Intention


In the beginning, telecommunications started from telegraph and television, and then entered the Internet era, As the Internet evolves to Web 2.0, online communities are emerging where users can communicate with each other, start socializing online by interacting with others through video sharing sites, blogs, Facebook and more. Smartphones, PCs allow users to communicate via social media with anyone from anywhere in the world who is close to them, get more followers, shares, likes, interactions and love counts, users get the social aspect of needs and identity, Users with a large number of fans can engage in mutually beneficial behavior with manufacturers and social media platforms, For example, more Openness to Experience people create through applications such as retouching and video editing, or if a more extroverted person uses more interactive applications such as video recording or live streaming applications, To attract more people to join the platform for exchange. Social media is now used by nearly half of the world's population, and the number of users is growing, and most people have smartphones, Social media has become part of people's daily lives, common social media platforms are Facebook, Instagram, Twitter, Youtube, etc. The different personality traits of the users, observing the Persistence of Different Personality Traits in Social Media through Self-Disclosure, find social media to retain and attract more people to operate and use social platforms. 464 valid samples were collected for this study, Analysis using SmartPLS 3, Learn that Extraversion, Openness to Experience and Neuroticism are positively significant for Self-Disclosure, analyzing personality traits after Self-Disclosure, continued use is intended to have a positive and significant impact, Users Increase Continuity of Social Media Use from Self-Disclosure, give reference to future research directions.


  1. Hsiao, W. L. (2018). Statistical Analysis for Beginners and Applications: SPSS Chinese Version + SmartPLS 3 (PLS_SEM) 2nd Edition. Taipei: GOTOP.

  2. Akee, R., Copeland, W., Costello, E. J., & Simeonova, E. (2018). How does household income affect child personality traits and behaviors?. American Economic Review, 108(3), 775-827.

  3. Altman, I., & Taylor, D. A. (1973). Social penetration: The development of interpersonal relationships. Holt, Rinehart and Winston.

  4. Amichai-Hamburger, Y., & Vinitzky, G. (2010). Social network use and personality. Computers in Human Behavior, 26(6), 1289-1295.

  5. Andreou, A., Silva, M., Benevenuto, F., Goga, O., Loiseau, P., & Mislove, A. (2019, February). Measuring the facebook advertising ecosystem. DOI: 10.14722/ndss.2019.23280.

  6. Bargh, J. A., & McKenna, K. Y. (2004). The Internet and social life. Annual Review of Psychology, 55, 573-590.

  7. Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. Management Information Systems Quarterly, 351-370.

  8. Bibby, P. A. (2008, June). Dispositional factors in the use of social networking sites: Findings and implications for social computing research. In International Conference On Intelligence and Security Informatics (pp. 392-400). Springer, Berlin, Heidelberg.

  9. Blackwell, D., Leaman, C., Tramposch, R., Osborne, C., & Liss, M. (2017). Extraversion, Neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Personality and Individual Differences, 116, 69-72.

  10. Butt, S., & Phillips, J. G. (2008). Personality and self reported mobile phone use. Computers in Human Behavior, 24(2), 346-360.

  11. Correa, T., Hinsley, A. W., & De Zuniga, H. G. (2010). Who interacts on the Web?: The intersection of users’ personality and social media use. Computers in Human Behavior, 26(2), 247-253.

  12. Costa, P. T., & McCrae, R. R. (1992). Revised NEO personality inventory (NEO-PI-R) and Neo five-factor inventory (NEO-FFI). Psychological Assessment Resources.

  13. Derlega, V. J., & Chaikin, A. L. (1977). Privacy and self‐disclosure in social relationships. Journal of Social Issues, 33(3), 102-115.

  14. Dienlin, T., & Metzger, M. J. (2016). An extended privacy calculus model for SNSs: Analyzing Self-Disclosure and self-withdrawal in a representative US sample. Journal of Computer-Mediated Communication, 21(5), 368-383.

  15. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

  16. Geisser, S. (1974). A Predictive Approach to the Random Effects Model, Biometrika, 61(1): 101-107.

  17. Goldberg, L. R. (1990). An alternative "description of personality": the big-five factor structure. Journal of Personality and Social Psychology, 59(6), 1216-1229.

  18. Gosling, S. D., Augustine, A. A., Vazire, S., Holtzman, N., & Gaddis, S. (2011). Manifestations of personality in online social networks: Self-reported Facebook-related behaviors and observable profile information. Cyberpsychology, Behavior, Social Networking, 14(9), 483-488.

  19. Graziano, W. G., Jensen-Campbell, L. A., & Hair, E. C. (1996). Perceiving interpersonal conflict and reacting to it: the case for Agreeableness. Journal of Personality and Social Psychology, 70(4), 820-835.

  20. Emarsys (2019). Top 5 Social Media Predictions for 2019 (

  21. Hair, J. F., Black, W. C., Babin, B. J.& Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective (7th ed.), Pearson Education International.

  22. Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd Ed., Sage: Thousand Oaks.

  23. Hamburger, Y. A., & Ben-Artzi, E. (2000). The relationship between Extraversion and Neuroticism and the different uses of the Internet. Computers in Human Behavior, 16(4), 441-449.

  24. Hong, J. C., Lin, P. H., & Hsieh, P. C. (2017). The effect of consumer innovativeness on perceived value and Continuance Intention to use smartwatch. Computers in Human Behavior, 67, 264-272.

  25. Huang, H. Y. (2016). Examining the beneficial effects of individual's Self-Disclosure on the social network site. Computers in Human Behavior, 57, 122-132.

  26. Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior, 28(2), 561-569.

  27. Kerr, S. P., Kerr, W. R., & Xu, T. (2017). Personality traits of entrepreneurs: A review of recent literature (No. w24097). National Bureau of Economic Research.

  28. Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241-251.

  29. Kwak, K. T., Choi, S. K., & Lee, B. G. (2014). SNS flow, SNS Self-Disclosure and post hoc interpersonal relations change: Focused on Korean Facebook user. Computers in Human Behavior, 31, 294-304.

  30. Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.

  31. McCrae, R. R., & John, O. P. (1992). An introduction to the five‐factor model and its applications. Journal of Personality, 60(2), 175-215.

  32. McCrae, R. R., & Costa, P. T., Jr. (1999). A Five-Factor theory of personality. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (p. 139–153). Guilford Press.

  33. McKenna, K. Y., & Bargh, J. A. (2000). Plan 9 from cyberspace: The implications of the Internet for Personality and Social Psychology. Personality and Social Psychology Review, 4(1), 57-75.

  34. Moore, K., & McElroy, J. C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1), 267-274.

  35. Mõttus, R., Kandler, C., Bleidorn, W., Riemann, R., & McCrae, R. R. (2017). Personality traits below facets: The consensual validity, longitudinal stability, heritability, and utility of personality nuances. Journal of Personality and Social Psychology, 112(3), 474-490.

  36. NCC (2019/09/27). Mobile Communications Market Statistics for Q2 2019.Taipei City: Executive Yuan.2019/10/5,Taken from:

  37. Obar, J. A., & Wildman, S. S. (2015). Social media definition and the governance challenge-an introduction to the special issue. Obar, JA and Wildman, S. (2015). Social media definition and the governance challenge: An introduction to the special issue. Telecommunications Policy, 39(9), 745-750.

  38. Pennebaker, J. W., & Chung, C. K. (2007). Expressive writing, emotional upheavals, and health. Foundations of Health Psychology, 263-284.

  39. Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and motivations associated with Facebook use. Computers in Human Behavior, 25(2), 578-586.

  40. Ryan, T., & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in human behavior, 27(5), 1658-1664.

  41. Saef, R., Woo, S. E., Carpenter, J., & Tay, L. (2018). Fostering socio-informational behaviors online: The interactive effect of Openness to Experience and Extraversion. Personality and Individual Differences, 122, 93-98.

  42. Saucier, G. (1994) Mini-Markers: A brief version of Goldberg's unipolar Big-Five markers. Journal of Personality Assessment, 63 (3), 506-516.

  43. Seidman, G. (2013). Self-presentation and belonging on Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 54(3), 402-407.

  44. Sheldon, P., & Bryant, K. (2016). Instagram: Motives for its use and relationship to narcissism and contextual age. Computers in Human Behavior, 58, 89-97.

  45. Solano, C. H., & Dunnam, M. (1985). Two's company: Self-Disclosure and reciprocity in triads versus dyads. Social Psychology Quarterly, 183-187.

  46. Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, 113(1), 117-143.

  47. Susanto, A., Chang, Y. and Ha, Y. (2016). Determinants of Continuance Intention to use the smartphone banking services: An extension to the expectation-confirmation model. Industrial Management and Data Systems, Vol. 116 No. 3, pp. 508-525.

  48. Stone, M. (1974). Cross-Validatory Choice and Assessment of Statistical Predictions, Journal of The Royal Statistical Society, 36(2): pp 111-147.

  49. Thompson, E. R. (2008). Development and validation of an international English big-five mini-markers. Personality and Individual Differences, 45(6), 542-548.

  50. Wang, T., Yeh, R. K. J., Chen, C., & Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4), 1034-1047.


  52. Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1), 25-33.

  53. Yuan, S., Liu, Y., Yao, R., & Liu, J. (2016). An investigation of users’ Continuance Intention towards mobile banking in China. Information Development, 32(1), 20-34.

  54. ZEPHORIA,Facebook 2019/12 Monthly Statistics (

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