How Crowd Worker Factors Influence Subjective Annotations: A Study of
Tagging Misogynistic Hate Speech in Tweets

How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets

3 September 2023

Danula Hettiachchi

I. Holcombe-James

Stephanie Livingstone

Anjalee de Silva

Matthew Lease

Papers citing "How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets"

5 / 5 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 M. Avvenuti S. Cresci 42 9 0 10 Oct 2024
Re-examining Sexism and Misogyny Classification with Annotator Attitudes Aiqi Jiang Nikolas Vitsakis Tanvi Dinkar Gavin Abercrombie Ioannis Konstas 44 1 0 04 Oct 2024
Designing NLP Systems That Adapt to Diverse Worldviews Claudiu Creanga Liviu P. Dinu 18 0 0 18 May 2024
Quantifying the Persona Effect in LLM Simulations Tiancheng Hu Nigel Collier 33 52 0 16 Feb 2024
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset Eric Michael Smith Melissa Hall Melanie Kambadur Eleonora Presani Adina Williams 76 129 0 18 May 2022