Datasets:
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README.md
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## Description
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The dataset contains tweet data annotations of **hate speech** and **offensive language** in five experimental conditions. The tweet data was sampled from the corpus created by [Davidson (2017)](https://github.com/t-davidson/hate-speech-and-offensive-language). We selected 3,000 Tweets for our annotation. We developed five experimental conditions that varied the annotation task structure. All tweets were annotated in each condition.
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- **Condition A** presented the tweet and three options on a single screen: hate speech, offensive language, or neither. Annotators could select one or both of hate speech, offensive language, or indicate that neither applied.
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Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
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![](./fig/exp_conditions.png "Illustration of Experimental Conditions")
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## Dataset Structure
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## Description
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The dataset contains tweet data annotations of **hate speech** and **offensive language** in five experimental conditions. The tweet data was sampled from the corpus created by [Davidson (2017)](https://github.com/t-davidson/hate-speech-and-offensive-language). We selected 3,000 Tweets for our annotation. We developed five experimental conditions that varied the annotation task structure, as shown in the following figure. All tweets were annotated in each condition.
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- **Condition A** presented the tweet and three options on a single screen: hate speech, offensive language, or neither. Annotators could select one or both of hate speech, offensive language, or indicate that neither applied.
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Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
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![](./fig/exp_conditions.png "Illustration of Experimental Conditions")
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<img src="https://datasets-server.huggingface.co/assets/soda-lmu/tweet_test/--/default/train/0/image/image.jpg" width = "300" height = "200" alt="" align=center />
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## Dataset Structure
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