Phua, Joe (2017). E-Cigarette Marketing on Social Networking Sites: Effects on Attitudes, Behavioral Control, Self-Efficacy and Brand Intentions. Accepted for presentation at the International Communication Association (ICA) Annual Conference, San Diego, CA, May 2017.
Abstract: Applying elaboration likelihood model (ELM) and extant literature on consumer-brand engagement (CBE), this study examined exposure to three types of electronic cigarette (e-cig) marketing messages (sponsored ads, brand pages, user-created groups) on social networking sites (SNSs), and their joint influence on brand- and health-related outcomes. Results (N=1016) indicated that e-cig users who joined user-created e-cig brand groups had significantly more negative attitudes towards quitting, lower perceived behavioral control, intention to quit and self-efficacy than those exposed to sponsored ads or following brand pages, while also having significantly greater brand involvement, self-brand connection, brand usage intent and eWoM intention. Exposure to two or more types of e-cig marketing messages had an additive effect on health- and brand-related outcomes. Social identification, attention to social comparison and subjective norms also moderated between exposure to e-cig marketing messages and key dependent measures. Implications for marketers and regulators are discussed.
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 […]