New artificial intelligence tool detects most common climate falsehoods
Related: Computer-assisted classification of contrarian claims about climate change (Nature Scientific Reports)
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Source: Washington Post
New artificial intelligence tool detects most common climate falsehoods
Climate misinformation online is mostly delivered through attacks on climate scientists and solutions, a study finds
By Kasha Patel
December 9, 2021 at 2:40 p.m. EST
After nearly five years of development and tweaking, John Cook and his colleagues debuted their project: a machine-learning algorithm that can detect climate misinformation on the Web.
The algorithm sounds like science fiction: It “reads” sites and flags those with claims presenting false or misleading information about climate change science and solutions.
But something ironic happened around two weeks after the software was made public in Nature Scientific Reports. The algorithm detected a blog post about its own methods, attempting to discredit them.
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The team programmed the artificial intelligence to detect false claims in five categories: global warming is not happening; human generated greenhouse gases are not causing global warming; climate impacts are not bad; climate solutions will not work; and climate science and scientists are unreliable.
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Read more: https://www.washingtonpost.com/weather/2021/12/09/climate-change-study-misinformation/