CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

Thomas Diggelmann
Thomas Diggelmann
Jannis Bulian
Jannis Bulian
Markus Leippold
Markus Leippold

Diggelmann, Thomas; Boyd-Graber, Jordan; Bulian, Jannis; Ciaramita, Massimiliano; Leippold, Markus (2020). CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. In: Tackling Climate Change with Machine Learning workshop at NeurIPS 2020, Online, 11 December 2020 - 11 December 2020., 2020.

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Abstract:

Our goal is to introduce CLIMATE-FEVER, a new publicly available dataset for verification of climate change-related claims. By providing a dataset for the research community, we aim to help and encourage work on improving algorithms for retrieving climate-specific information and detecting fake news in social and mass media to reduce the ...More

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