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Combating Climate Fake News Using NLP

Rayyan M. |
workspace_premium Santa Clara ISEF Qualifier

As fake news becomes more prevalent across the US, important issues become harder to solve. One such issue is climate change, where climate misinformation has worsened viewer’s abilities to distinguish between fake information and real information. This project’s objective is to tackle climate misinformation using an artificial intelligence model.

As fake news becomes more prevalent across the US, important issues become harder to solve. One such issue is climate change, where climate misinformation has worsened viewer’s abilities to distinguish between fake information and real information. This project’s objective is to tackle climate misinformation using an artificial intelligence model. The model utilizes a BERT model tested on the “climate_fever” dataset to classify whether climate-related claims are true based on pieces of evidence.

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Rayyan M.
Philip Bell
Computer Science MS from Georgia Tech, Harvard and Oxford alum, AI Engineer at Cognino

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