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Relationships Among User Group, Gender and Self-disclosure in Social Media

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(4), pp.25-31
  • DOI : 10.9708/jksci.2018.23.04.025
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 21, 2018
  • Accepted : April 10, 2018
  • Published : April 30, 2018

Phil-Sik Jang 1

1세한대학교

Accredited

ABSTRACT

In recent years the privacy issue on social media is often being discussed. The purpose of this study is to explore the relationships among user gender, user group according to user activity level (highly active vs less active) and self-disclosure in social media. We collected a total of 180 million tweets issued by 13 million twitter users for 12 months and investigated attributes of tweet (user's profile, profile image, description, geographic information, URL) which are related to self-disclosure and boundary impermeability. The results show there are significant (p<0.001) interactions between user gender, user group and each attribute of tweet that are related to self-disclosure and show that the patterns of self-disclosure are different across attributes. The results also show that the mean self-disclosure scores and boundary impermeability of top 10% highly active users are significantly higher than other less active users for all genders.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.