FIMS Profile

Chris Brogly


PhD student Health Information Science

Research Interests

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

Publications

  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, https://doi.org/10.21105/joss.01208
  2. Chris Brogly and Victoria Rubin (2019). Detecting Clickbait: Here’s How to Do It. Canadian Journal of Information and Library Science. (in-press)