Datasets:

soda-lmu
/

tweet-annotation-sensitivity-2

Tasks:

Text Classification

Modalities:

Formats:

Sub-tasks:

sentiment-classification

hate-speech-detection

Languages:

Size:

Libraries:

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boleima commited on Sep 13, 2023

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@@ -24,7 +24,6 @@ The dataset contains tweet data annotations of **hate speech** and **offensive l
 We recruited 917 (?) 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.
 Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
-![](./fig/exp_conditions.png "Illustration of Experimental Conditions")
  <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 />

 We recruited 917 (?) 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.
 Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
  <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 />