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Discipline and Label: A WEIRD Genealogy and Social Theory of Data
  Annotation

Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation

9 February 2024
Andrew Smart
Ding Wang
Ellis Monk
Mark Díaz
Atoosa Kasirzadeh
Erin van Liemt
Sonja Schmer-Galunder
ArXivPDFHTML

Papers citing "Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation"

4 / 4 papers shown
Title
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)
Stephanie Eckman
Bolei Ma
Christoph Kern
Rob Chew
Barbara Plank
Frauke Kreuter
41
0
0
12 Jan 2025
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling
  Queer Voices
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices
A. Sigurgeirsson
Eddie L. Ungless
20
2
0
11 Jun 2024
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Zeerak Talat
Smarika Lulz
Joachim Bingel
Isabelle Augenstein
88
47
0
28 Jan 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
232
319
0
21 Aug 2019
1