Arguments
Talks and Presentations
List of talks
- 27 February 2025: republicEN webinar part 2 - BUST or TRUST? The scientific consensus on climate change
- 20 February 2025: republicEN webinar part 1 - BUST or TRUST? The scientific consensus on climate change with John Cook
- 6 November 2024: CCRUN webinar about climate change misinformation and disinformation
- 10 October 2024: SciFuture interview with John Cook
- 24 July 2024: Center for Climate Safety podcast about pushing back against climate misinformation
- 23 July 2024: Sierra Club Canada podcast - Climate Misinformation Mechanics, Cranky Uncle, and Skeptical Science with John Cook
- 18 June 2024: SciFuture - AI & the Holy Grail of Fact Checking
- 1 January 2024: A conversation between Melanie Trecek-King and John Cook about a Scientifc Consensus
Talks prior to 2024 are available on this page.
27 February 2025: republicEN webinar part 2 - BUST or TRUST? The scientific consensus on climate change
In Part 2 of the republicEN webinar, John Cook explained the misinformation being used to cast doubt on the scientific consensus and what we can do in response.
20 February 2025: republicEN webinar part 1 - BUST or TRUST? The scientific consensus on climate change
In Part 1 of the republicEN webinar, John Cook explained the history of the 20-year scientific consensus on climate change. How do we know there’s a scientific consensus on climate change? How did we get there, and what exactly does it all mean?
6 November 2024: CCRUN webinar about climate change misinformation and disinformation
The webinar's topic focused on climate change misinformation and disinformation and included three speakers: Dr. Gavin Schmidt, Dr. John Cook, and Dr. Emily Vraga who each gave a presentation on this critical topic. All presentations are available in this blog post. John Cook was the 2nd speaker during the webinar and he talked about detecting misleading climate misinformation. John's presentation is available as a PDF here.
10 October 2024: SciFuture interview with John Cook
John Cook discusses the dynamics of misinformation and his teams use of AI to help automatically detect and counter it.
24 July 2024: Center for Climate Safety podcast about pushing back against climate misinformation
John Cook was the guest on the The Sustainable Hour podcast no. 513 and talked about pushing back against climate misinformation and climate science.
23 July 2024: Sierra Club Canada podcast - Climate Misinformation Mechanics, Cranky Uncle, and Skeptical Science with John Cook
John talked with "The Environment in Canada" podcast about real experiences of using his resources in practical climate communications work (and the results).
18 June 2024: SciFuture - AI & the Holy Grail of Fact Checking
John Cook discussed the usefulness of AI in fact checking. Misinformation researchers refer to automatic detection and debunking of misinformation as the “holy-grail of fact-checking”. Machine learning models have achieved high accuracy in detecting contrarian claims about climate change, as well as detecting logical fallacies in climate misinformation. However, there is a significant gap between misinformation detection and automatic generation of corrections that are both accurate and effective. Debunkings should adhere to the best-practice recommendations informed by psychological research, such as the fact-myth-fallacy-fact structure (aka the “truth sandwich”). In this presentation, Dr. John Cook outlined how he combined machine learning research on fallacy and contrarian claim detection with generative AI to develop a model that automatically debunks climate misinformation using “truth sandwich” corrections.
1 January 2024: A conversation between Melanie Trecek-King and John Cook about a Scientific Consensus
There are so many misconceptions about consensus in science: What is a consensus? Does science work via consensus? Melanie Trecek-King asked these questions and more in this interview with John Cook, the main author of the 97% consensus on climate change study!
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Talks prior to 2024 are available on this page.
