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Projects
The Audience Impact of The Conversation Articles
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.
Using Machine Learning to Detect Explanatory Strategies
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.
Author Survey Project 1: What is Journalism?
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.
AI Chatbots & Online Deliberation
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.
The Explanatory Journalism Project is supported in part by funding from the Social Sciences and Humanities Research Council.