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- **Homepage:** https://yxguan.github.io/ComplexData-Misinfo-test1/
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- **Repository:** https://github.com/ComplexData-MILA/misinfo-datasets
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- **Paper:** https://arxiv.org/abs/2104.06952
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### Dataset Summary
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Misinformation is a challenging societal issue, and mitigating solutions are difficult to create due to data deficiencies. To address this problem, we have curated the largest collection of (mis)information datasets in the literature, totaling 72. From these, we evaluated the quality of all of the 32 datasets that consist of statements or claims. If you would like to contribute a novel dataset or report any issues, please email us or visit our GitHub.
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Please refer to our [paper](https://arxiv.org/abs/2104.06952) for further details.
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### Team
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This dataset is made available by [Complex Data Lab](https://complexdatalabmcgill.github.io/), a group composed of researchers from University of Montreal and McGill University.
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The lab is led by [Dr. Reihaneh Rabbany](https://complexdatalabmcgill.github.io/team/reihaneh+rabbany) and [Dr. Jean-François Godbout
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- **Homepage:** https://yxguan.github.io/ComplexData-Misinfo-test1/
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- **Repository:** https://github.com/ComplexData-MILA/misinfo-datasets
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- **Paper:** https://arxiv.org/abs/2104.06952
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- **Data Processing Script:** https://github.com/YXGuan/misinfo-dataset-preprocessing
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### Dataset Summary
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Misinformation is a challenging societal issue, and mitigating solutions are difficult to create due to data deficiencies. To address this problem, we have curated the largest collection of (mis)information datasets in the literature, totaling 72. From these, we evaluated the quality of all of the 32 datasets that consist of statements or claims. If you would like to contribute a novel dataset or report any issues, please email us or visit our GitHub.
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Please refer to our [paper](https://arxiv.org/abs/2104.06952) for further details.
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### Note for Users
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Please be noted that some different labels may refer to the same thing. For example USA, United States and united states. This is due to the discrepency in labeling originated from the original datasets. Further data cleaning is recommended upon usage.
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### Team
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This dataset is made available by [Complex Data Lab](https://complexdatalabmcgill.github.io/), a group composed of researchers from University of Montreal and McGill University.
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The lab is led by [Dr. Reihaneh Rabbany](https://complexdatalabmcgill.github.io/team/reihaneh+rabbany) and [Dr. Jean-François Godbout
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