Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Spanish
Size:
10K - 100K
ArXiv:
Tags:
hate_speech
Commit
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Parent(s):
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README.md
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pretty_name: contextualized_hate_speech
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---
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# Contextualized Hate Speech: A dataset of comments in news outlets on Twitter
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This dataset is a collection of tweets that were posted in response to news articles from five specific Argentinean news outlets: Clarín, Infobae, La Nación, Perfil and Crónica, during the COVID-19 pandemic. The comments were analyzed for hate speech across eight different characteristics: against women, racist content, class hatred, against LGBTQ+ individuals, against physical appearance, against people with disabilities, against criminals, and for political reasons. All the data is in Spanish.
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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## Dataset Structure
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### Data Instances
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### Data Fields
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### Data Splits
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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### Annotations
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#### Annotation process
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#### Who are the annotators?
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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### Discussion of Biases
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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### Licensing Information
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### Citation Information
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[More Information Needed]
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language:
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- es
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pretty_name: contextualized_hate_speech
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task_categories:
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- text-classification
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tags:
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- hate_speech
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size_categories:
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- 10K<n<100K
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---
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# Contextualized Hate Speech: A dataset of comments in news outlets on Twitter
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This dataset is a collection of tweets that were posted in response to news articles from five specific Argentinean news outlets: Clarín, Infobae, La Nación, Perfil and Crónica, during the COVID-19 pandemic. The comments were analyzed for hate speech across eight different characteristics: against women, racist content, class hatred, against LGBTQ+ individuals, against physical appearance, against people with disabilities, against criminals, and for political reasons. All the data is in Spanish.
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### Citation Information
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[More Information Needed]
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