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Comparison of Chat GPT to Crowd Workers for Text Annotation Tasks
The chapter discusses a study comparing the performance of Chat GPT to crowd workers for text annotation tasks, emphasizing the significance of manual text annotations in NLP applications. It presents findings that Chat GPT outperforms crowd workers in various annotation tasks like stance topics and frame detection using samples of tweets and news articles. The conversation delves into challenges in obtaining data, the costs involved with different annotators, and the potential of large language models like Chat GPT for text annotation tasks.