Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media-Reference-Cited by-同舟云学术

Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media

Published:2023 Issue: Volume: Page:198-213
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Bertaglia Thales^ORCID,Huber Stefan,Goanta Catalina^ORCID,Spanakis Gerasimos^ORCID,Iamnitchi Adriana^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-44067-0_11

Reference32 articles.

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4. Christin, A., Lewis, R.: The drama of metrics: status, spectacle, and resistance among YouTube drama creators. Soc. Media + Soc. 7(1), 2056305121999660 (2021). https://doi.org/10.1177/2056305121999660

5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 4171–4186. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/N19-1423. https://aclanthology.org/N19-1423

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