Self-Regulation of Internet Behaviors on Social Media Platforms

The current research sought a comprehensive understanding about the consequences of information-sharing behavior on social media, given public concerns about privacy violations. We used a mixed-methods approach to investigate the influence of the self on "revealing" and emotional "healing" experiences online. Respondents completed a survey measuring sense of self and motivations for using social media, as well as revealing and healing attitudes and behavior. We conducted a principal component factor analysis on separate parts of the survey and ran Pearson correlations of the emerging factors. Qualitative data describing experiences of online self-disclosure were used to illustrate the correlational findings. The "revealing" factors contrasted adaptive with maladaptive and na & iuml;ve posting. The sense of self, as well as motivations for social media use, influenced whether users engaged in destructive posting behaviors. The "healing" factors were associated with positive motivations for self-disclosure, seeking a supportive online community, and building resilience. Correlational data revealed that respondents with an insecure or asocial sense of self felt the greater need for online self-disclosure. Motivations to self-disclose online and experiences of "healing", with the help of a supportive online community, depended on whether the sense of self was secure, insecure, or asocial.