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Projects
Project Lead: Dr. Frauke Zeller
This project investigates how the COVID-19 health crisis has impacted media representations and dominant media frames of technology, AI, and robotics.
Project Lead: Dr. John Shiga
This project analyzes how the reproduction number (R) of COVID-19 is communicated in The Conversation in comparison with forms of journalism found in more traditional news publications.
Project Lead: Dr. Charles Davis
This project investigates how explanatory journalism is practiced throughout The Conversation and the relationship between explanatory journalism and audience impact.
Project Lead: Dr. Robert Clapperton
This project is working to design and develop a machine learning model for the detection of elements such as temporal focus (deliberative, forensic, epideictic), evaluation, and stance in journalistic texts.
Project Lead: Dr. Sibo Chen
This project explores coverage of the COVID-19 pandemic in varying media outlets through the lens of crisis communication.
Project Lead: Dr. Nicole Blanchett
This project explores how and when a piece of writing becomes “journalistic” and how the same piece of content may or may not be considered journalism depending on the viewpoint of the writer, the reader, and/or accepted professional norms.
Project Lead: Stuart Duncan
The AI Chatbot project looks at the use of AI-based chatbots for helping to meet the information needs of audiences. The Online Deliberation project explores automated methods for measuring online deliberation around complex social issues.
Project Lead: Dr. Sibo Chen
This study aims to enrich our understanding of online hate in an increasingly fragmented public sphere.
Project Lead: Angela Misri
This project explores the use of AI for journalistic purposes and the ethical considerations related to its implementation.
The Explanatory Journalism Project is supported in part by funding from the Social Sciences and Humanities Research Council.