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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). |
