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