The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2022
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| _version_ | 1866913379103277056 |
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| author | Kraft, Angelie Usbeck, Ricardo |
| author_facet | Kraft, Angelie Usbeck, Ricardo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2210_03353 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs Kraft, Angelie Usbeck, Ricardo Computation and Language Artificial Intelligence Computers and Society 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. |
| title | The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs |
| topic | Computation and Language Artificial Intelligence Computers and Society |
| url | https://arxiv.org/abs/2210.03353 |