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license: mit |
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language: |
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- en |
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tags: |
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- climate |
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# Model Card |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This model identifies 12 distinct climate change denial strategies or fallacies to classify and analyse texts that express skepticism or opposition to climate change scientific findings. |
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These 12 distinct labels come from the FLICC taxonomy created by John Cook and his colleagues. |
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The FLICC taxonomy divides denial strategies into five primary categories: fake experts, logical fallacies, impossible expectations, cherry-picking, and conspiracy theories. |
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- **Developed by:** Francisco Zanartu, John Cook, Julian Garcia and Markus Wagner |
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- **Model type:** DeBERTa (Decoding-enhanced BERT with disentangled attention) is a Transformer-based neural language model |
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- **Language(s) (NLP):** Finetuned and evaluated on a English dataset. |
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- **License:** [More Information Needed] |
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- **Finetuned from model [optional]:** microsoft/deberta-v2-xlarge |
