David G Hobson

David G Hobson

Research Engineer

Centre for Media, Technology, and Democracy

Hey there!

I’m Dave and I’m a Research Engineer at the Centre for Media, Technology, and Democracy at McGill University. I study how media and technology are shaping our lives, and how we can use public policy to help ensure that technology works for everyone.

I completed my master’s degree in computer science at McGill, under the supervision of Derek Ruths and Andrew Piper, where I studied computational narrative understanding, and specifically how we can quantify how people are portrayed in news articles. I’m broadly interested in social issues and social dynamics, and in better understanding what influences people’s beliefs and behaviour. I’m also a strong advocate for the use of AI and data science to help create positive change in the world.

Before starting my master’s, I did a Bachelor’s degree in Computer Science at Carleton University and spent time working as a Machine Learning Intern at Kinaxis and a Data Scientist at Global Affairs Canada.

In another life, I taught English as an Assistant Language Teacher in Japan, and in another other life, I studied Physics and Mathematics at the uOttawa.

Outside of research, I enjoy being outdoors (backpacking, climbing, skiing, etc.), traveling, cooking, and learning about world history, religions, psychology, and a bunch of other stuff.

Interests
  • Computational Social Science
  • Natural Language Processing
  • Narrative Understanding
Education
  • MSc in Computer Science, 2025

    McGill University

  • BCS in Artificial Intelligence and Machine Learning, 2023

    Carleton University

  • BSc in Physics-Mathematics, 2016

    University of Ottawa

Select Publications

(2025). Evaluating Taxonomy Free Character Role Labeling (TF-CRL) in News Stories using Large Language Models. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing.

Cite DOI URL

(2024). Story Morals: Surfacing value-driven narrative schemas using large language models. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

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(2024). Large Scale Narrative Messaging around Climate Change: A Cross-Cultural Comparison. Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024).

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Reports

Alberta’s Referendum, Online: Influencers, AI Content, Foreign Interest, and the Attention Economy Ahead of the October 19 Vote
Chris Ross, Ben Steel, David Hobson, Saewon Park, Esli Chan, Bradley Wood-MacLean, Mika Desblancs-Patel, Aengus Bridgman
Data Visualization
Alberta’s Referendum, Online: Influencers, AI Content, Foreign Interest, and the Attention Economy Ahead of the October 19 Vote
Facebook’s News Slop Economy: Inside a Foreign-Run AI Content-Farm Network Monetizing Fake News
Mathieu Lavigne, Mika Desblancs-Patel, David Hobson, Esli Chan, Manon Paquet, Aengus Bridgman
Data Visualization
Facebook’s News Slop Economy: Inside a Foreign-Run AI Content-Farm Network Monetizing Fake News
Conspiratorial Claims and Institutional Distrust in Canada’s Online Ecosystem
Mika Desblancs-Patel, Esli Chan, Mathieu Lavigne, Chris Ross, David Hobson, Ben Steel, Helen A. Hayes
Conspiratorial Claims and Institutional Distrust in Canada’s Online Ecosystem
Canadian AI Strategy Task Force: Infrastructure
Ian Rae, Sara Parker, David Hobson, Derek Ruths
Canadian AI Strategy Task Force: Infrastructure
The relevance and role of Tenet Media personalities in Canadian political discussion
David Hobson, Jean-Romain Roy, Ben Steel, Aengus Bridgman
The relevance and role of Tenet Media personalities in Canadian political discussion