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@@ -80,5 +80,16 @@ We recruited US-based annotators from the crowdsourcing platform [Prolific](http
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  ## Citation
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- If you find the dataset useful, please cite our dataset page: [https://huggingface.co/datasets/soda-lmu/tweet-annotation-experiments](https://huggingface.co/datasets/soda-lmu/tweet-annotation-experiments).
 
 
 
 
 
 
 
 
 
 
 
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  ## Citation
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+ If you find the dataset useful, please cite:
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+ ```
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+ @inproceedings{kern-et-al-2023-annotation,
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+ title = "Annotation Sensitivity: Training Data Collection Methods Affect Model Performance",
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+ author = "Christoph Kern and Stephanie Eckman and Jacob Beck and Rob Chew and Bolei Ma and Frauke Kreuter",
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+ booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
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+ month = "dec",
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+ year = "2023",
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+ address = "Singapore",
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+ publisher = "Association for Computational Linguistics"
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+ }
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+ ```
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