Watch: Conversations on explanatory journalism

GJIL researchers at Ryerson University discussed aspects of their research, exploring similarities in their approaches to understanding explanatory journalism.

The three conversations addressed theoretical frameworks, methodological pandemic protocols, and post-pandemic research.

Behind the Numbers of Explanatory Journalism: Bob Clapperton, Charles Davis and Catherine Schryer consider the manifestations of machine learning on audience and content analysis in explanatory journalism.


Explanatory Journalism and Science Communication: Jessica Mudry and John Shiga dig into the numbers and statistics used in journalism, exploring knowledge translation as it relates to numerical literacy.


Alternative Media and Framing Technology: Sibo Chen and Frauke Zeller on the unique methodologies they use to study explanatory journalism, going to to address the challenges and opportunities of knowledge mobilization.

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