Annotators with Attitudes: How Annotator Beliefs And Identities Bias
Toxic Language Detection

Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection

15 November 2021

Swabha Swayamdipta

Xuhui Zhou

Yejin Choi

Papers citing "Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection"

15 / 165 papers shown

Title
KOLD: Korean Offensive Language Dataset Young-kuk Jeong Juhyun Oh Jaimeen Ahn Jongwon Lee Jihyung Mon Sungjoon Park Alice H. Oh 54 25 0 23 May 2022
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy Allison Lahnala Charles F Welch Béla Neuendorf Lucie Flek 59 13 0 15 May 2022
Handling and Presenting Harmful Text in NLP Research Hannah Rose Kirk Abeba Birhane Bertie Vidgen Leon Derczynski 13 47 0 29 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing Research Dennis Ulmer Elisa Bassignana Max Müller-Eberstein Daniel Varab Mike Zhang Rob van der Goot Christian Hardmeier Barbara Plank 19 10 0 13 Apr 2022
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models Fatemehsadat Mireshghallah Kartik Goyal Taylor Berg-Kirkpatrick 36 78 0 24 Mar 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection Thomas Hartvigsen Saadia Gabriel Hamid Palangi Maarten Sap Dipankar Ray Ece Kamar 24 347 0 17 Mar 2022
Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks Jingyan Zhou Deng Jiawen Fei Mi Yitong Li Yasheng Wang Minlie Huang Xin Jiang Qun Liu Helen Meng 27 31 0 16 Feb 2022
Describing Differences between Text Distributions with Natural Language Ruiqi Zhong Charles Burton Snell Dan Klein Jacob Steinhardt VLM 132 42 0 28 Jan 2022
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection Suchin Gururangan Dallas Card Sarah K. Drier E. K. Gade Leroy Z. Wang Zeyu Wang Luke Zettlemoyer Noah A. Smith 175 73 0 25 Jan 2022
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks Paul Röttger Bertie Vidgen Dirk Hovy J. Pierrehumbert 18 11 0 14 Dec 2021
Can Machines Learn Morality? The Delphi Experiment Liwei Jiang Jena D. Hwang Chandra Bhagavatula Ronan Le Bras Jenny T Liang ... Yulia Tsvetkov Oren Etzioni Maarten Sap Regina A. Rini Yejin Choi FaML 127 111 0 14 Oct 2021
Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community Maximilian Wich Adrianna Górniak Tobias Eder Daniel Bartmann Burak Enes cCakici Georg Groh 17 12 0 15 Sep 2021
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines Saadia Gabriel Skyler Hallinan Maarten Sap Pemi Nguyen Franziska Roesner Eunsol Choi Yejin Choi 16 40 0 18 Apr 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP Zeerak Talat Smarika Lulz Joachim Bingel Isabelle Augenstein 96 51 0 28 Jan 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 320 0 21 Aug 2019