Arthur D. Soto-Vásquez (Journalism and Media Studies), with co-authors Rasika Muralidharan (Indiana University), María Montenegro (Rutgers University), and Danny Valdez (Indiana University), recently published "Analysis of Breast Cancer Information on Facebook Using Neural Network–Based Topic Modeling and Metadata Analysis of English and Spanish Content: Comparative Study" in the Journal of Medical Internet Research. In the article, the authors use natural language processing methods and quantitative modeling to analyze English and Spanish breast cancer posts from Facebook. Results show similar content topics but top Spanish language posts are primarily from local government and food and beverage companies.