Mengxin Li1,2,*, Jusang Bin Bolong3
1Infrastructure University Kuala Lumpur, Darul Ehsan 43000, Selangor, Malaysia.
2Sichuan University of Culture and Arts, Mianyang 621000, Sichuan, China.
3Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.
*Corresponding author: Mengxin Li
Abstract
This study, based on the Big Five Personality Theory, explores the influence of personality traits on the choice of social platforms. Existing research indicates that there is a correlation between personality and online behavior, but studies on the characteristics of different platforms are still insufficient. The research adopted the questionnaire survey method, using the revised NEO-FFI scale and the platform usage preference questionnaire. A total of 1024 valid samples were collected through online and offline channels, covering different age and occupational groups. Data analysis reveals that users with a higher level of extroversion tend to prefer instant messaging platforms such as WeChat and QQ. The trait of openness significantly influences users’ choices of content creation platforms like Xiaohongshu and Bilibili. The neurotic dimension is positively correlated with the frequency of social platform usage. Agreeableness traits promote interactive behaviors such as likes and comments, while users with high conscientiousness have a shorter usage duration. Age plays a moderating role in the relationship between personality traits and platform choice. For instance, the openness of the younger group is more strongly associated with the use of innovative platform functions. This study innovatively constructed a personal-platform selection model, revealing the functional requirements of users with different traits for social platforms. The results have practical value for the personalized service design of the platform, such as the development of stress-relieving functions for neurotic users, or providing content creation tools for highly open-minded users. This research fills the gap in platform-specific studies, and in the future, longitudinal tracking can be combined to further verify the validity of the model.
References
Bauman, Z. (2002). Individualized society (X. T. Fan, Trans.). Shanghai Sanlian Bookstore. (Original work published 2002)
Lu, X. Y., Xu, J., Zhang, H., et al. (2022). Research on user swing behavior in multi-social media platform environment—an exploration based on grounded theory. Information Theory and Practice, 9, 127-134.
Wang, J., & Liu, S. (2024). Empirical analysis of social platform user behavior differentiation based on the Big Five Model. Psychological Science, 46(3), 1122-1129.
Wang, Z. X., & Chen, Q. (2021). Research on the function iteration of WeChat and QQ and the change of network interpersonal communication. Journal of Beijing Institute of Graphic Communication, 9, 17-22.
Wu, S. W., & He, Y. X. (2021). Media, emotion and social relations: QQ memories and technological nostalgia of netizens. Modern Communication (Journal of Communication University of China), 9, 144-150.
Yu, G. M. (2021). The evolutionary logic of future media: the iteration, reorganization and dimension upgrading of “human connection”—from “scene era” to “metaverse” and then to the future of “heart world”. Journalism Re-view, 10, 54-60.
Yu, G., & Yang, Y. (2023). A study on personality traits and social platform usage patterns under digital intergenerational differences. International Press, 45(2), 78-94.
Zhang, Y., & Li, Z. (2022). A study on the influence of Big Five personality traits on social media preference. Chinese Journal of Psychology, 54(8), 118-129.
How to cite this paper
Research on User Social Platform Selection Preferences in the Big Five Personality Dimension
How to cite this paper: Mengxin Li, Jusang Bin Bolong. (2025) Research on User Social Platform Selection Preferences in the Big Five Personality Dimension. Journal of Humanities, Arts and Social Science, 9(7), 1259-1263.
DOI: http://dx.doi.org/10.26855/jhass.2025.07.002