Social and Behavioral Sciences Commons^™

Tweets R Us: Predicting Personality From Language And Emoji Use On Twitter, Maxwell Meckling, Sarah Shoup, D. E. Chan-Tin, Shelia Kennison

Computer Science: Faculty Publications and Other Works

The research investigated the suggestion from prior research that language and emojis use on Twitter and other social media platforms can predict users’ personality and gender (Adali et al., 2014; Golbeck et al., 2011; Li et al., 2019; Moreno et al., 2019; Raess, 2018). Some studies have also analyzed Twitter language to identify individuals with specific health conditions (e.g., alcohol recovery, Golbeck, 2012; sleep problems, Suarez et al., 2018).

If strategies to predict Twitter users’ characteristics prove to be successful, future efforts to direct persuasive messages related to recommended practices in public health and/or cybersecurity will be possible. Commercial applications …

Relationships Between Social Media Exposure & Levels Of Body Dissatisfaction, Helen Nguyen, Andrea L. Paiva

Senior Honors Projects

The digital age has resulted in major technological inventions leading to great advances; however there are also clear costs. Television allows identical picture images to be broadcasted into millions of homes, the internet is a gateway to seemingly limitless information, and the cell phone is the ultimate connection device. Each of these communication modalities have spread the thinness ideal that is prevalent in Western societies, with the Internet being ridden with pro-eating disorder websites, cell phones providing handheld excess to peer- comparison, and all mediums presenting images of the thin body as ideal. The prevalence of eating disorders is still …