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- # Tweet Annotations in Different Experimental Conditions
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  ## Description
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  + Annotators assigned **<font color=green>Condition D</font>** were first asked to annotate hate speech for all their assigned tweets, and then asked to annotate offensive language for the same set of tweets.
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  + **Condition E** worked the same way, but started with the offensive language annotation task followed by the hate speech annotation task.
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- We recruited annotators via the crowdsourcing platform [Prolific](https://www.prolific.com/) during November and December 2022. Only platform members in the US were eligible. Each annotator annotated up to 50 tweets. The dataset also contains demographic informations of the annotators.
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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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  <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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+ # Tweet Annotations in Five Experimental Conditions
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  ## Description
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  + Annotators assigned **<font color=green>Condition D</font>** were first asked to annotate hate speech for all their assigned tweets, and then asked to annotate offensive language for the same set of tweets.
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  + **Condition E** worked the same way, but started with the offensive language annotation task followed by the hate speech annotation task.
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+ We recruited US-based annotators from the crowdsourcing platform [Prolific](https://www.prolific.com/) during November and December 2022. Each annotator annotated up to 50 tweets. The dataset also contains demographic information about the annotators. Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
 
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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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