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draft for data statement docs for #64
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Andrada Pumnea
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We are currently relying on 3 datasets for our research and modeling efforts: | ||
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1. Waseem, Zeerak, and Dirk Hovy. "Hateful symbols or hateful people? predictive features for hate speech detection on | ||
twitter." Proceedings of the NAACL student research workshop. 2016. (check | ||
[Hate speech](#Hate-speech) section) | ||
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2. Anzovino, Maria, Elisabetta Fersini, and Paolo Rosso. "Automatic identification and classification of misogynistic | ||
language on twitter." International Conference on Applications of Natural Language to Information Systems. | ||
Springer, Cham, 2018. (check [Automatic Misogyny Identification](#Automatic-Misogyny-Identification ) section) | ||
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3. A dataset that we collected and labeled. Check [Our Annotations](#Our-Annotations) section for a full description | ||
of our process. | ||
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These 3 datasets are combined into what we call the **gold dataset**. | ||
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The next 3 sections provide an overview of how the data was collected and labeled in the form of data statements | ||
([Bender, Emily M., and Batya Friedman](https://www.aclweb.org/anthology/Q18-1041/)) | ||
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# Hate speech | ||
to-do | ||
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# Automatic Misogyny Identification | ||
to-do | ||
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# Our Annotations | ||
to-do | ||
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