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Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2023) · cited 14× · AI/ML
academia openalex:W4382318396
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Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information

Summary

Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information is a scholarly article[1].

Key Facts

  • Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information. Retrieved May 24, 2026, from https://4ort.xyz/entity/everyones-voice-matters-quantifying-annotation-disagreement-using-demographic-information
MLA “Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/everyones-voice-matters-quantifying-annotation-disagreement-using-demographic-information.
BibTeX @misc{4ortxyz_everyones-voice-matters-quantifying-annotation-disagreement-using-demographic-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information}}, year = {2026}, url = {https://4ort.xyz/entity/everyones-voice-matters-quantifying-annotation-disagreement-using-demographic-information}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information — https://4ort.xyz/entity/everyones-voice-matters-quantifying-annotation-disagreement-using-demographic-information (retrieved 2026-05-24)

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