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Sociodemographic biases are a common problem for natural language processing, affecting the fairness and integrity of its applications.
The politics of disability
Mike Oliver · 1984
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Paul Ekman · 1993
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People First Spokane Valley · 2005
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Judy Cohen and Yvette Silver · 2006
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Opinion mining and sentiment analysis
Bo Pang and Lillian Lee · 2009
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The world report on disability
Jerome Bickenbach · 2011
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Vader: A parsimonious rule-based model for sentiment analysis of social media text
CHE Gilbert and Erric Hutto · 2014
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Byron Creese and Deborah Lader · 2014
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Nathan R Kuncel, David M Klieger, and Deniz S Ones · 2014
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Can an algorithm hire better than a human
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai · 2016
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Weapons of math destruction: How big data increases inequality and threatens democracy
Cathy O’neil · 2016
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Sentibench-a benchmark comparison of state-of-the-practice sentiment analysis methods
Filipe N Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Marcos André Gonçalves, and Fabrício Benevenuto · 2016
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The black box society: The secret algorithms that control money and information, by frank pasquale. cambridge: Harvard university press, 2015. 320 pp. isbn 978–0674368279
Alan Rubel · 2016
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan · 2017
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Hate me, hate me not: Hate speech detection on facebook
Fabio Del Vigna12, Andrea Cimino23, Felice Dell’Orletta, Marinella Petrocchi, and Maurizio Tesconi · 2017
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The disability bias: understanding the context of hate in comparison with other minority populations
Stephen J Macdonald, Catherine Donovan, and John Clayton · 2017
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Examining gender and race bias in two hundred sentiment analysis systems
Svetlana Kiritchenko and Saif M Mohammad · 2018
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Machine learning suites for online toxicity detection
David Noever · 2018
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Addressing age-related bias in sentiment analysis
Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, and Darren Gergle · 2018
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textblob documentation
Steven Loria · 2018
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Sentiment analysis for software engineering: How far can we go?
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Uber’s self-driving car didn’t know pedestrians could jaywalk, 2019
A Marshall and A Davies · 2019
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The risk of racial bias in hate speech detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A Smith · 2019
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The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng · 2019
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Measuring bias in contextualized word representations
Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W Black, and Yulia Tsvetkov · 2019
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Application of student’s t-test, analysis of variance, and covariance
Prabhaker Mishra, Uttam Singh, Chandra M Pandey, Priyadarshni Mishra, and Gaurav Pandey · 2019
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Ji Ho Park, Jamin Shin, and Pascale Fung · 2018
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Ai fairness for people with disabilities: Point of view
Shari Trewin · 2018
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Amirkiarash Kiani, Sameh Al Natour, and Ozgur Turetken · 2018
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Gender bias in sentiment analysis
Mike Thelwall · 2018
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Semeval-2018 task 1: Affect in tweets
Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Google automl: Cloud natural language processing
Ekaba Bisong · 2019
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Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, and Xiang Ren · 2020
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Disability discrimination, medical rationing and covid-19
Bo Chen and Donna Marie McNamara · 2020
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Social biases in nlp models as barriers for persons with disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl · 2020
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Toxicity detection: Does context really matter?
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, and Ion Androutsopoulos · 2020
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Detoxify
Laura Hanu and Unitary team · 2020
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Toward fairness in ai for people with disabilities sbg@ a research roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, and Meredith Ringel Morris · 2020
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Ask the editor: What is the most appropriate way to talk about individuals with a diagnosis of autism?
Giacomo Vivanti · 2020
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Helping authors understand toxicity, one comment at a time, Feb 2021
Jigsaw · 2021
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Hello neighbor: How a local newspaper builds community via online comments, Feb 2021
Jigsaw · 2021
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Does language matter? identity-first versus person-first language use in autism research: A response to vivanti
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Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Martínez-Santiago, and L Alfonso Ureña-López · 2021
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