Lee, Yen-I (Grady Ph.D. student), Joe Phua and Tai-Yee Wu (2017). Advertising a Health Product Brand on Facebook: The Effects of Valence of Reaction Icons and Brand Post Comments on Brand Attitude, Trust, Purchase Intention and eWoM Intention. Accepted for presentation at the International Communication Association (ICA) Annual Conference, San Diego, CA, May 2017.
Abstract: The current study examined the effects of 3 types of Facebook reaction icons (positive, neutral, negative) and valence of comments (positive, neutral, negative) on brand attitude, trust, information seeking, purchase intention, and eWOM intention towards a health brand. Additionally, the study also assessed potential moderating effects of social media use on the relationship between Facebook reaction icons and eWOM intention. A 3 (reaction icons: positive vs. neutral vs. negative) x 3 (valence of comments: positive vs. neutral vs. negative) between-subjects experiment with a sample of college students (N = 306) from a large public university in the U.S. was conducted. The findings indicated that positive Facebook reaction icons (i.e. like and love) significantly influenced brand attitude, trust, purchase intention and eWOM intention. Moreover, positive and neutral post comments significantly impacted brand attitude and trust. However, degree of SNS use negatively moderated between valence of reaction icons and eWOM intention. Implications for future research 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 […]