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

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

Yisi Sang
Jeffrey Stanton
ArXiv (abs)PDFHTML

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
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
126
11
0
10 Oct 2024
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson
Debasmita Bhattacharya
Ingmar Weber
102
459
0
29 May 2019
Deceiving Google's Perspective API Built for Detecting Toxic Comments
Deceiving Google's Perspective API Built for Detecting Toxic Comments
Hossein Hosseini
Sreeram Kannan
Baosen Zhang
Radha Poovendran
AAML
66
328
0
27 Feb 2017

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.