Stream: social data and knowledge collective intelligence platform for TRaining Ethical AI Models-Reference-Cited by-同舟云学术

Stream: social data and knowledge collective intelligence platform for TRaining Ethical AI Models

Published:2024-01-22 Issue: Volume: Page:
ISSN:0951-5666
Container-title:AI & SOCIETY
language:en
Short-container-title:AI & Soc

Author:

Wang Yuwei^ORCID,Lu Enmeng,Ruan Zizhe,Liang Yao,Zeng Yi

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00146-023-01851-6.pdf

Reference18 articles.

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2. Botzer N, Gu S, Weninger T (2022) Analysis of moral judgment on reddit. IEEE Trans Comput Soc Syst 10:947–957

3. Bulla L, Giorgis SD, Gangemi A, Marinucci L, Mongiovì M (2022) Detection of morality in tweets based on the moral foundation theory. In: International conference on machine learning, optimization, and data science. Springer, pp 1–13

4. Emelin D, Le Bras R, Hwang JD, Forbes M, Choi Y (2021) Moral stories: situated reasoning about norms, intents, actions, and their consequences. In: Proceedings of the 2021 conference on empirical methods in natural language processing. Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, pp 698–718. https://doi.org/10.18653/v1/2021.emnlp-main.54

5. Forbes M, Hwang JD, Shwartz V, Sap M, Choi Y (2020) Social chemistry 101: learning to reason about social and moral norms. In: Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP). Association for Computational Linguistics, Online, pp 653–670. https://doi.org/10.18653/v1/2020.emnlp-main.48

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