Hurley, R. J., Sangalang, A., Riles, J. M. Online cancer news trends: Representations over time.
A content analysis of representations of online cancer news across three time periods (i.e., 2008, 2012, and 2016). This examination consists of assessing how information about cancer is communicated in four of the most popular online news outlets (i.e., Google, Yahoo, MSNBC, and CNN) in terms of risk, uncertainty, stages of the cancer continuum emphasized, and who is dealing with the disease. We are interested in assessing this data for race, gender, and other diversity issues, and there are opportunities for collaborating with additional researchers on this front.
Hurley, R. J. Race and gender of healthcare professionals on network TV.
A content analysis of network TV data from 28 days of total televised content, 24 hours a day, on NBC, CBS, ABC, & Fox. This is being coded for presentations of race and gender as healthcare professionals. Analysis is ongoing and additional avenues for inquiry are welcome.
Hurley, R. J. Race and gender of video gamers on network TV.
In the same 28-day sample of network television, depictions of video gaming and gamers were coded. The video game industry has long been accused of a variety of inclusivity issues, including those regarding gender, and race/ethnicity. This study is an attempt at understanding depictions of gaming and gamers in order to explicate media's role in the creation of these inclusivity issues.
Riles, J. M. The social effects of exposure to media portrayals of mental illness: Exploring the impact of consumption on interpersonal interaction intentions, attitudes, and social stigma.
A survey-based study where mediation modeling is used to assess the roles of attitudes and social stigma as potential mediators between consuming television programming containing prominent characters with a mental illness, and the comfort of consumers to socially interact with members of this social group.
A content analysis assessing the quality and themes of interpersonal interactions in American films over time as characters with various mental illnesses are portrayed. We compare interactions that contain people with various mental illnesses with each other, as well as with interactions not containing characters with a mental illness. We make these and other comparisons along a number of dimensions, including stigma indications, cooperativeness, type of interaction relationship, demographic features of the characters involved (e.g., race, sex, sexual orientation, socio-economic status), and more.