Science, Technology & the Future | AI & the Holy Grail of Fact Checking - John Cook @scfu | Uploaded June 2024 | Updated October 2024, 9 hours ago.
'Generative debunking and the holy grail of fact-checking': John Cook discusses 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 will outline 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.
He recently co-authored 'Developing an Ad Hominem typology for classifying climate misinformation': meetup.com/science-technology-and-the-future/events/301013533
This was an event hosted by SciFuture held at The Clyde Hotel - Thursday 23rd.
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Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series?
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Kind regards,
Adam Ford
- Science, Technology & the Future - #SciFuture - scifuture.org
'Generative debunking and the holy grail of fact-checking': John Cook discusses 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 will outline 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.
He recently co-authored 'Developing an Ad Hominem typology for classifying climate misinformation': meetup.com/science-technology-and-the-future/events/301013533
This was an event hosted by SciFuture held at The Clyde Hotel - Thursday 23rd.
Many thanks for tuning in!
Please support SciFuture by subscribing and sharing!
Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series?
Please fill out this form: docs.google.com/forms/d/1mr9PIfq2ZYlQsXRIn5BcLH2onbiSI7g79mOH_AFCdIk
Kind regards,
Adam Ford
- Science, Technology & the Future - #SciFuture - scifuture.org
