Social Interactions Across Media

By Nancy K. Baym, Yan Bing Zhang, Mei-Chen Lin. 2004

379 citations recorded by the source corpus.

Subfields: Communication, Education, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/23e7cd29a65f3e951081c814173bf82ef85399c6

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Citations in the corpus

Measuring Online Communication Attitude: Instrument Development and Validation (2009, result): “…scholars have noted that young adult samples indicate future trends in media use and are thus worthy participants for online communication research (Baym et al., 2004), other research indicates significant differences in media use between age and cultural groups (e.g., Chen, Boase, & Wellman,…”
Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage (2020, result): “From this perspective, we empirically confirm findings of past research [67] [68] [32][47]) that found different types of motivation influence media usage.”
Preliminary Development of a Model and Measure of Computer-Mediated Communication (CMC) Competence (2006, background): “In summary, research demonstrates CMC has infiltrated, supplemented, and perhaps in some cases supplanted, the arsenal of courtship and relationship pursuit, development, and management (Baym et al., 2004).”
Patterns and dynamics of users' behavior and interaction: Network analysis of an online community (2009, neutral): “…(Baym,Zhang,&Lin,2004;Boase,Horrigan,Wellman,& Rainie,2006;Boase,2008;Stern,2008;Wellmanetal., 1996;Wellman,1999;Wellman&Haythornthwaite,2002;…”
Attitudes Toward Online Social Connection and Self-Disclosure as Predictors of Facebook Communication and Relational Closeness (2011, background): “, such that strong ties communicate across many media whereas weak ties use fewer media), most studies find a significantly positive association between offline and online frequency with a specific relational partner (Baym et al., 2004; Ramirez & Broneck, 2009).”