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# Tweet Annotation Sensitivity Experiment 2: Annotations in Five Experimental Conditions
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## Description
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The dataset contains tweet data annotations of **hate speech** (HS) and **offensive language** (OL) in five experimental conditions. The tweet data was sampled from the corpus created by [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955). 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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# Tweet Annotation Sensitivity Experiment 2: Annotations in Five Experimental Conditions
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***<font color= red>Attention: This repository contains cases that might be offensive or upsetting. We do not support the views expressed in these hateful posts.</font>***
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## Description
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The dataset contains tweet data annotations of **hate speech** (HS) and **offensive language** (OL) in five experimental conditions. The tweet data was sampled from the corpus created by [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955). 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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