SocialCompUW
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README.md
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@@ -18,7 +18,7 @@ This model is a fine-tuned version of the [DeBerta-v3-large model](https://huggi
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Given the YouTube video metadata (e.g., title, description, transcript, tags), the model will predict three potential numeric labels: opposing COVID-19 misinformation (0), neutral information (1), and supporting COVID-19 misinformation (2).
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To learn more about these labels, please refer to the paper: [Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation between the United States and South Africa](https://arxiv.org/abs/2409.10168). The video dataset used to train and evaluate the model is available at the Github link here
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## Training Hyperparameters
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The following hyperparameters were used during training:
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Given the YouTube video metadata (e.g., title, description, transcript, tags), the model will predict three potential numeric labels: opposing COVID-19 misinformation (0), neutral information (1), and supporting COVID-19 misinformation (2).
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To learn more about these labels, please refer to the paper: [Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation between the United States and South Africa](https://arxiv.org/abs/2409.10168). The video dataset used to train and evaluate the model is available at the [Github link here](https://github.com/social-comp/YouTubeAuditGeolocation-data).
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## Training Hyperparameters
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The following hyperparameters were used during training:
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