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+ ---
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+ license: mit
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+ language:
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+ - en
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+ base_model:
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+ - google-bert/bert-base-uncased
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+ ---
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+ Anti-Vax-Misinfo-Detector is a simple vaccine misinformation detector fine-tuned on tweets.
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+ The Anti-Vax-Misinfo-Detector is a fine-tuned version of the "bert-base-uncased" transformer model and inspired by the "COVID-19 Misinformation Detector", found [here](https://huggingface.co/spencer-gable-cook/COVID-19_Misinformation_Detector).
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+ It is fine-tuned on a dataset containing tweets relating to the COVID-19 pandemic; each tweet is labelled as containing misinformation (1) or not (0), as verified by healthcare experts. The dataset used is:
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+ [ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection](https://www.sciencedirect.com/science/article/pii/S0033350621004534)
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+ For detailed information on the fine-tuning, please check out the attached Jupyter notebook "Bert_CovidVaccine_Misinformation.ipynb."
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+ More information can also be found in the related paper [Disagreement as a way to study misinformation and its effects](https://arxiv.org/abs/2408.08025).