🔗 Who cites «Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics»

61 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics»

1. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language DetectionMaarten Sap, Swabha Swayamdipta, Laura Vianna, et al.2022 · 365 citations
2. Two Contrasting Data Annotation Paradigms for Subjective NLP TasksPaul Röttger, Bertie Vidgen, Dirk Hovy, et al.2022 · 219 citations
3. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
4. Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic PromptingTilman Beck, Hendrik Schuff, Anne Lauscher, et al.2024 · 68 citations
5. Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan LanguagesThomas Mandl, Sandip Modha, Gautam Kishore Shahi, et al.2021 · 48 citations
6. ArMIS - The Arabic Misogyny and Sexism Corpus with Annotator Subjective DisagreementsDina Almanea, Massimo Poesio2022 · 42 citations

55 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/cited-by/