Text Classification
Transformers
PyTorch
English
deberta-v2
Inference Endpoints
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  <!-- Provide a longer summary of what this model is. -->
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  This is a DeBERTa-v3-base-tasksource-nli model with an adapter trained on [webimmunization/COVID-19-conspiracy-theories-tweets](https://huggingface.co/datasets/webimmunization/COVID-19-conspiracy-theories-tweets), which contains 6,590 pairs of a tweet and a conspiracy theory along with class labels: support, deny, neutral. The model was finetuned for text classification to predict whether a tweet supports a given conspiracy theory or not. The model was trained on tweets related to six common COVID-19 conspiracy theories.
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- 1. **CT6: Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population.
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- 2. **CT4: Governments and politicians spread misinformation.** Politicians or government agencies are intentionally spreading false information, or they have some other motive for the way they are responding to the coronavirus.
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- 3. **CT5: The Chinese intentionally spread the virus.** The Chinese government intentionally created or spread the coronavirus to harm other countries.
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- 4. **CT1: Deliberate strategy to create economic instability or benefit large corporations.** The coronavirus or the government's response to it is a deliberate strategy to create economic instability or to benefit large corporations over small businesses.
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- 5. **CT2: Public was intentionally misled about the true nature of the virus and prevention.** The public is being intentionally misled about the true nature of the Coronavirus, its risks, or the efficacy of certain treatments or prevention methods.
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- 6. **CT3: Human made and bioweapon.** The Coronavirus was created intentionally, made by humans, or as a bioweapon.
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  This model is suitable for English only.
 
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  <!-- Provide a longer summary of what this model is. -->
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  This is a DeBERTa-v3-base-tasksource-nli model with an adapter trained on [webimmunization/COVID-19-conspiracy-theories-tweets](https://huggingface.co/datasets/webimmunization/COVID-19-conspiracy-theories-tweets), which contains 6,590 pairs of a tweet and a conspiracy theory along with class labels: support, deny, neutral. The model was finetuned for text classification to predict whether a tweet supports a given conspiracy theory or not. The model was trained on tweets related to six common COVID-19 conspiracy theories.
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+ 1. **CT1: Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population.
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+ 2. **CT2: Governments and politicians spread misinformation.** Politicians or government agencies are intentionally spreading false information, or they have some other motive for the way they are responding to the coronavirus.
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+ 3. **CT3: The Chinese intentionally spread the virus.** The Chinese government intentionally created or spread the coronavirus to harm other countries.
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+ 4. **CT4: Deliberate strategy to create economic instability or benefit large corporations.** The coronavirus or the government's response to it is a deliberate strategy to create economic instability or to benefit large corporations over small businesses.
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+ 5. **CT5: Public was intentionally misled about the true nature of the virus and prevention.** The public is being intentionally misled about the true nature of the Coronavirus, its risks, or the efficacy of certain treatments or prevention methods.
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+ 6. **CT6: Human made and bioweapon.** The Coronavirus was created intentionally, made by humans, or as a bioweapon.
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  This model is suitable for English only.