The Origin and Value of Disagreement Among Data Labelers: A Case Study of the Individual Difference in Hate Speech Annotation

7 December 2021

Papers citing "The Origin and Value of Disagreement Among Data Labelers: A Case Study of the Individual Difference in Hate Speech Annotation"

3 / 3 papers shown

Title
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets Tommaso Giorgi Lorenzo Cima T. Fagni Marco Avvenuti S. Cresci 105 10 0 10 Oct 2024
Racial Bias in Hate Speech and Abusive Language Detection Datasets Thomas Davidson Debasmita Bhattacharya Ingmar Weber 94 456 0 29 May 2019
Deceiving Google's Perspective API Built for Detecting Toxic Comments Hossein Hosseini Sreeram Kannan Baosen Zhang Radha Poovendran AAML 60 328 0 27 Feb 2017