Article ID Journal Published Year Pages File Type
6836842 Computers in Human Behavior 2016 10 Pages PDF
Abstract
With more than three billion “Netizens” worldwide, online social support obtained through social networking sites (SNS) has a pervasive influence on their users' affective experiences. Social support generally fosters affective well-being, but such support can also threaten some recipients' self-esteem that compromises their affective well-being. However, little is known of whether (a) this self-esteem threat varied by the mode (i.e., online vs. offline) of supportive interactions, and (b) such variations were explained by public self-consciousness across distinct modes of supportive interactions. A moderated mediation model was formulated to test these hypothesized personality and contextual differences using a quasi-experimental design. The results revealed that the mode of supportive interactions moderated the relationship between self-esteem and public self-consciousness, indicating that individuals higher in self-esteem are less likely to feel exposed to the potentially unfavorable evaluations in online (vs. offline) supportive interactions. Moreover, the results showed that the heightened levels of public self-consciousness explained the positive link between self-esteem and negative affect in offline but not online supportive interactions, providing further evidence that social support obtained through SNS is likely superior to that obtained through face-to-face interactions.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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