The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Knowledge graphs are increasingly used in a plethora of downstream tasks or in the augmentation of statistical models to improve factuality. However, social biases are engraved in these representations and propagate downstream. We conducted a critical analysis of literature concerning biases at different steps of a knowledge graph lifecycle. We investigated factors introducing bias, as well as the biases that are rendered by knowledge graphs and their embedded versions afterward. Limitations of existing measurement and mitigation strategies are discussed and paths forward are proposed.
Original languageEnglish
Title of host publicationProceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing : Volume 1: Long Papers
EditorsYulan He, Heng Ji, Sujian Li, Yang Liu, Chua-Hui Chang
Number of pages14
Volume1
Place of PublicationStroudsburg
PublisherAssociation for Computational Linguistics (ACL)
Publication date01.11.2022
Pages639-652
ISBN (electronic)978-1-955917-65-0
DOIs
Publication statusPublished - 01.11.2022
Externally publishedYes
EventConference of the Asia-Pacific Chapter of the Association for Computational Linguistics - online
Duration: 20.11.202223.11.2022

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