--- title: "Who cites Identifying and Measuring — 61 citing papers" description: "61 papers of the Elamur Research library cite «Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics»…" canonical: "https://research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Identifying and Measuring Annotator Bias Based on…](https://md.research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/) / cited by # 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»](https://md.research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/) 1. [**Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages arXiv:2112.09301**Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, et al.*2021 · 48 citations*](https://md.research.elamur.ai/free/en/papers/mandl-2021-overview-hasoc-subtrack-fire-2021/) **[ArMIS - The Arabic Misogyny and Sexism Corpus with Annotator Subjective Disagreements](https://md.research.elamur.ai/free/en/papers/almanea-2022-armis-arabic-misogyny-sexism-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dina Almanea, Massimo Poesio*2022 · 42 citations* 55 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/kuwatly-2020-identifying-measuring-annotator-bias-based/) — Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics