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Social Capital, Self-Esteem, Popularity, Need for Accessibility to Friends, and Stress Predict Cyber Technology Use
Abstract
The authors examined social capital, self-esteem, popularity, need for accessibility to friends, and stress as gendered predictors of cyber technology use in 149 undergraduates. The authors investigated four kinds of cyber technology use: social networking, texting, internet surfing, and MP3 player listening. Stress was the most consistent predictor of cyber technology use in men (social networking, texting, and MP3 player listening), while popularity was the most consistent for women (social networking, texting, and MP3 player listening). Furthermore, self-esteem inversely predicted use of internet surfing in men and MP3 player listening in women. On the other hand, the social capital dimension of bridging online which is establishing weak social ties, predicted the use of both internet surfing and MP3 player listening in men and women. The authors extended the literature by establishing gendered social-cognitive dimensions of cyber technology use among undergraduates in the United States.
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