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Racial Disparity in Natural Language Processing: A Case Study of Social
  Media African-American English

Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English

30 June 2017
Su Lin Blodgett
Brendan O'Connor
ArXiv (abs)PDFHTML

Papers citing "Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English"

22 / 72 papers shown
Learning to be Fair: A Consequentialist Approach to Equitable
  Decision-Making
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
Alex Chohlas-Wood
Madison Coots
Henry Zhu
Emma Brunskill
Sharad Goel
FaML
323
31
0
18 Sep 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng
Arunesh Mathur
Arvind Narayanan
371
106
0
06 Aug 2021
Quantifying Social Biases in NLP: A Generalization and Empirical
  Comparison of Extrinsic Fairness Metrics
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness MetricsTransactions of the Association for Computational Linguistics (TACL), 2021
Paula Czarnowska
Yogarshi Vyas
Kashif Shah
220
128
0
28 Jun 2021
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions
  Through Highly Contextualized Language Representations
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language RepresentationsPLoS ONE (PLOS ONE), 2021
Nikolaos Flemotomos
Víctor R. Martínez
Zhuohao Chen
Torrey A. Creed
David C. Atkins
Shrikanth Narayanan
144
37
0
23 Feb 2021
Towards generalisable hate speech detection: a review on obstacles and
  solutions
Towards generalisable hate speech detection: a review on obstacles and solutionsPeerJ Computer Science (PeerJ Comput. Sci.), 2021
Wenjie Yin
A. Zubiaga
301
195
0
17 Feb 2021
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting
  Data Scientists in Training Fair Models
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models
Brittany Johnson
Jesse Bartola
Rico Angell
Katherine Keith
Sam Witty
S. Giguere
Yuriy Brun
FaML
244
21
0
17 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution ShiftsInternational Conference on Machine Learning (ICML), 2020
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
693
1,656
0
14 Dec 2020
Inflating Topic Relevance with Ideology: A Case Study of Political
  Ideology Bias in Social Topic Detection Models
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection ModelsInternational Conference on Computational Linguistics (COLING), 2020
M. Guo
R. Hwa
Y. Lin
Wen-Ting Chung
113
8
0
29 Nov 2020
Demographic Representation and Collective Storytelling in the Me Too
  Twitter Hashtag Activism Movement
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement
Aaron Mueller
Zach Wood-Doughty
Silvio Amir
Mark Dredze
A. Nobles
147
47
0
13 Oct 2020
Astraea: Grammar-based Fairness Testing
Astraea: Grammar-based Fairness TestingIEEE Transactions on Software Engineering (TSE), 2020
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
413
35
0
06 Oct 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
546
808
0
04 Oct 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Language (Technology) is Power: A Critical Survey of "Bias" in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Su Lin Blodgett
Solon Barocas
Hal Daumé
Hanna M. Wallach
877
1,510
0
28 May 2020
Examining Racial Bias in an Online Abuse Corpus with Structural Topic
  Modeling
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling
Thomas Davidson
Debasmita Bhattacharya
106
16
0
26 May 2020
Deep Learning for Political Science
Deep Learning for Political Science
Kakia Chatsiou
Slava Jankin
AI4CE
172
16
0
13 May 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding
  from Causal Estimates
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal EstimatesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Katherine A. Keith
David D. Jensen
Brendan O'Connor
CML
227
128
0
01 May 2020
Improving Broad-Coverage Medical Entity Linking with Semantic Type
  Prediction and Large-Scale Datasets
Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale DatasetsJournal of Biomedical Informatics (JBI), 2020
Shikhar Vashishth
Denis R. Newman-Griffis
Rishabh Joshi
Ritam Dutt
Carolyn Rose
280
30
0
01 May 2020
A Framework for the Computational Linguistic Analysis of Dehumanization
A Framework for the Computational Linguistic Analysis of DehumanizationFrontiers in Artificial Intelligence (FAI), 2020
Julia Mendelsohn
Yulia Tsvetkov
Dan Jurafsky
319
106
0
06 Mar 2020
Stereotypical Bias Removal for Hate Speech Detection Task using
  Knowledge-based Generalizations
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based GeneralizationsThe Web Conference (WWW), 2019
Pinkesh Badjatiya
Manish Gupta
Vasudeva Varma
115
108
0
15 Jan 2020
Predictive Biases in Natural Language Processing Models: A Conceptual
  Framework and Overview
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and OverviewAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Deven Santosh Shah
H. Andrew Schwartz
Dirk Hovy
AI4CE
352
281
0
09 Nov 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases
Perturbation Sensitivity Analysis to Detect Unintended Model BiasesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Vinodkumar Prabhakaran
Ben Hutchinson
Margaret Mitchell
131
127
0
09 Oct 2019
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
279
505
0
29 May 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a
  High-Stakes Setting
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga
Alexey Romanov
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Adam Tauman Kalai
535
522
0
27 Jan 2019
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