Datasets:
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README.md
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# Dataset Card for Dataset Name
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The dataset contains 784 tweets related to immigration, racism, islamophobia, and xenophobia in the context of the BREXIT online discussion.
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Each tweet has been annotated by 6 annotators, 3 of which belong to the group targeted by the discriminatory content (immigrants and Muslim annotators living in the UK), and 3 of which are part of a "control" group, not directly targeted by the discriminatory content.
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We release the dataset in a disaggregated manner (each line corresponds to the annotation of a single annotator).
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## Dataset Details
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- **Language(s) (NLP):** en
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- **License:** cc-by-sa-4.0
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Paper [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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- offensiveness: whether or not the tweet is offensive according to the annotator
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- stereotype: whether or not the tweet contains a stereotype according to the annotator
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- aggressiveness: whether or not the tweet is aggressive, according to the annotator
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The guidelines given to the annotators will be made public.
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## Dataset Creation
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<!-- Motivation for the creation of this dataset. -->
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The dataset is created to better study consistent disagreement among annotators, specifically in the context when a group of annotators is targeted by discriminatory content.
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We observe systematic disagreement and polarization between the target and the control group.
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### Source Data
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[More Information Needed]
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### Annotations
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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The dataset contains derogatory content, including racist and Islamophobic slurs.
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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## Dataset Card Contact
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[More Information Needed]
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# Dataset Card for Dataset Name
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The dataset contains 784 tweets related to immigration, racism, islamophobia, and xenophobia in the context of the BREXIT online discussion.
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Each tweet has been annotated by 6 annotators, 3 of which belong to the group targeted by the discriminatory content (immigrants and Muslim annotators living in the UK), and 3 of which are part of a "control" group, not directly targeted by the discriminatory content.
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We release the dataset in a disaggregated manner (each line corresponds to the annotation of a single annotator).
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## Dataset Details
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- **Language(s) (NLP):** en
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- **License:** cc-by-sa-4.0
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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- offensiveness: whether or not the tweet is offensive according to the annotator
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- stereotype: whether or not the tweet contains a stereotype according to the annotator
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- aggressiveness: whether or not the tweet is aggressive, according to the annotator
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The guidelines given to the annotators will be made public.
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## Dataset Creation
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<!-- Motivation for the creation of this dataset. -->
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The dataset is created to better study consistent disagreement among annotators, specifically in the context when a group of annotators is targeted by discriminatory content.
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We observe systematic disagreement and polarization between the target and the control group.
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### Source Data
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[More Information Needed]
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### Annotations
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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The dataset contains derogatory content, including racist and Islamophobic slurs.
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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