FIMS Profile

Chris Brogly

  • About Me

  • Teaching


MSc Computer Science
PhD student Health Information Science

Research Interests

Health informatics/information, internet, predictive models, information retrieval, databases, simulation/games


  1. Victoria Rubin, Chris Brogly, Nadia Conroy, Yimin Chen, Sarah Cornwell, and Toluwase Asubiaro, (2019). A News Verification Browser for the Detection of Clickbait, Satire, and Falsified News. Journal of Open Source Software, 4(35), 1208,
  2. Chris Brogly and Victoria Rubin (2019). Detecting Clickbait: Here’s How to Do It. Canadian Journal of Information and Library Science. (in-press)

Fall 2018 - Ivey Business School

Summer 2018 - CS338 - University of Waterloo