Romantic motivations for social media use, social comparison, and online aggression among adolescents
Young, R., Len-Ríos, M. E., & Young, H. N. (2017, May). Romantic motivations for social media use, social comparison, and online aggression among adolescents. Paper to be presented at the Children, Adolescents and Media, International Communication Association, San Diego, CA.
Abstract: This study examines whether adolescent motivations for social media use, social comparison tendencies and gender are related to online aggression victimization and/or perpetration. Results of a hierarchical multiple regression conducted on data from a national cross-sectional survey of middle adolescents (N = 340) reveals that social media use, romantic motivations, social belongingness motivations and greater social comparison tendencies predicted online aggression victimization (R2 = .38). Information motivations and entertainment motivations negatively predict online aggression perpetration, but romantic motivations, social comparison, and social media use were positive predictors (R2 = .34). Further examination of interactions and indirect effects reveal that romantic motivations for social media use are an important predictor of involvement in online aggression among adolescents.
Abstract: Participants (N=88) in a two-condition (Facebook post information level: high vs. low) mixed factorial design took part in a laboratory experiment that utilized eye tracking to gauge what areas of the page in common news layouts attract viewers’ gaze, and whether this viewing amount of information about the story disclosed in the Facebook posts. […]
Bartosz WojdynskiCamila EspinaKate KeibJennifer MalsonHyejin BangYen-I Lee
A Social Networks Approach to Online Social Movement:
Abstract: The movement to free Al Jazeera journalists (#FreeAJStaff), imprisoned by Egyptian authorities, utilized Twitter over almost two years, between 2014 and 2015. This study applied a social networks approach to study patterns of information flow, social mediators, and clusters, formed by the #FreeAJStaff movement on Twitter.Analysis of 22 months of data found social mediators […]