Suchergebnisse

This study examined multiple layers of private disclosure on the microblogging site Twitter. Survey data ( N = 375) were collected from current Twitter users ( N = 198), nonusers ( N = 116), and dropouts ( N = 61). Data from current Twitter users revealed the existence of multiple strata of private disclosure boundaries on Twitter. There were significant differences at the descriptive and inferential levels among the multiple dimensions of private information, including daily lives, social identity, competence, socio-economic status, and health. Private information regarding daily lives and entertainment was disclosed easily and located at the outermost layer of the disclosure onion. In contrast, health-related private information was concealed and located within the innermost layer of the disclosure onion. ANOVAs ( N = 375) also indicated that there were significant differences among current Twitter users, nonusers, and dropouts with regard to personality traits and privacy concerns about Twitter. Theoretical implications were discussed.

The effect on exergamers' postgame mood of activating the private versus the collective self was investigated in 2 experiments. In Experiment 1 I found that group playing induces greater pleasure than individual playing. In Experiment 2 I used a 2 (chronic independent self-construals:
high versus low) x 2 (activated self: private versus collective) between-subjects factorial design, and found a significant interaction between chronic self-construals and the activated self. Exergamers high in independent self-construals displayed more negative affective responses to defeat
when the private self was activated than when the collective self was activated. In contrast, those low in independent self-construals showed no difference regardless of the activated self.