Managuran, Kala Devi and Varathan, Kasturi Dewi and Al-Garadi, Mohammad Ali Derhem (2021) Can music likes in Facebook determine your personality? Malaysian Journal of Computer Science, 34 (1). pp. 61-81. ISSN 0127-9084, DOI https://doi.org/10.22452/mjcs.vol34no1.4.
Full text not available from this repository.Abstract
The `like' icon is the most frequently used among all icons on Facebook. Although this social media platform is used by many people to express their music preferences publicly, Facebook `likes' are still underutilised in determining personality. Thus, music `likes' was employed in this study to gauge the personality of individuals based on a model that was developed by mapping music genres and personality traits. A computational technique that gauges users' personalities on the basis of their music `likes' on Facebook was also introduced. Results discovered that personality traits based on music preferences on Facebook assisted in revealing the personality of individuals. Furthermore, similar patterns in personality traits were obtained from a manual test, i.e., the Big Five inventory test performed on each respondent. Music genres and personality traits were mapped by the proposed model to examine the relationship between these two variables and the findings revealed that music `likes' can be utilised to identify the personality of individuals.
| Item Type: | Article |
|---|---|
| Funders: | Impact-Oriented Interdisciplinary Research Grant Program of University of Malaya (IIRG001A-19SAH) |
| Uncontrolled Keywords: | Music; Like; Preferences; Facebook; Music Genres; Big Five Personality |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 11 Mar 2022 09:44 |
| Last Modified: | 11 Mar 2022 09:44 |
| URI: | http://eprints.um.edu.my/id/eprint/27027 |
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