Nutrition Education for Low Income Population through Social Marketing
Hagues, Rachel, Austin Childers, Jung Sun Lee & Joe Phua (2016). Nutrition Education for Low Income Population through Social Marketing: Insight from SNAP-Ed Eligible Participants. Accepted for presentation at the Experimental Biology 2016 Annual Conference, San Diego, CA, April 2016.
Abstract: As part of formative research for a social marketing intervention, eight focus groups were conducted for Georgia SNAP-Ed eligible participants (N=70) in four quadrants (NW, NE, SW, SE) of the state, representing rural and urban counties. Based on the principles of Marketing Exchange Theory (Bagozzi, 1975), participants were asked questions which assessed benefits and barriers associated with eating healthy, as well as accessibility and media channels used. Results indicated the the majority of participants recognized benefits to healthy eating including less susceptibility to obesity-related medical conditions, but also faced barriers including affordability and access to healthy food options, particularly those who live in more rural counties. The Internet and social networking sites (SNSs) were frequently used to access health information, along with television programs including daytime talk shows and food-related programming. The data gathered will be used to developing a segmented social marketing intervention to reach low-income SNAP-Ed eligible Georgians.
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 […]