Gender Bias Papers

Contributed by Jishun Zhao and Shucheng Zhu.

Introduction

In this repo, we list some related work on gender bias. Corrections and suggestions are welcomed.

Contents

1. Volume
2. ArXiv's latest related papers
3. Review article
4. Bias analysis
5. Bias measurement
6. Bias Detection
7. Model de-bias
8. Text de-bias
9. Data set
10. Conference
11. Comment
12. Psychology
13. Relevant literature
14. Prompt
15. Group Image

Volume

1. Proceedings of the 1st Workshop on Gender Bias in Natural Language Processing
2. Proceedings of the 2nd Workshop on Gender Bias in Natural Language Processing
3. Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing
4. Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing

ArXiv's latest related papers

1. Back to Square One：Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema.2021.PDF
2. Detoxifying Language Models Risks Marginalizing Minority Voices.2021.PDF
3. First the Worst：Finding Better Gender Translations during Beam Search.2021.PDF
4. Gender Bias in Machine Translation.2021.PDF
5. Improving Gender Translation Accuracy with Filtered Self-training.2021.PDF
6. Investigating Failures of Automatic Translation in the Case of Unambiguous Gender.2021.2021.PDF
7. Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models.2021.PDF
8. Unmasking the Mask - Evaluating Social Biases in Masked Language Models.2021. PDF
9. Revealing Persona Biases in Dialogue Systems.2021.PDF
10. Hidden Biases in Unreliable News Detection Datasets.2021.PDF
11. Identifying Offensive Expressions of Opinion in Context.2021.PDF
12. Contextual Lexicon-Based Approach for Hate Speech and Offensive Language Detection.2021.PDF
13. Impact of Gender Debiased Word Embeddings in Language Modeling.2021.PDF
14. The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification.2021.PDF
15. Societal Biases in Language Generation: Progress and Challenges.2021.PDF
16. Evaluating Gender Bias in Natural Language Inference.2021.PDF
17. Multilingual Offensive Language Identification for Low-resource Languages.2021.PDF
18. Black or White but Never Neutral: How Readers Perceive Identity from Yellow or Skin-toned Emoji.2021.PDF
19. The Incel Lexicon: Deciphering the Emergent Cryptolect of a Global Misogynistic Community.2021.PDF
20. MBIC - A Media Bias Annotation Dataset Including Annotator Characteristics.2021.PDF
21. How to Split: The Effect of Word Segmentation on Gender Bias in Speech Translation.2021.PDF
22. A Simple Voting Mechanism for Online Sexist Content Identification.2021.PDF
23. LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering.2021.PDF
24. Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation.2021.PDF
25. Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives.2021.PDF
26. John Praised Mary Because He? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs.2021.PDF
27. Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia.2021.PDF
28. Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model.2021.PDF
29. Towards Equal Gender Representation in the Annotations of Toxic Language Detection.2021.PDF
30. A Diachronic Evaluation of Gender Asymmetry in Euphemism.2021.PDF
31. LGBTQ-AI? Exploring Expressions of Gender and Sexual Orientation in Chatbots.2021.PDF
32. RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models.2021.PDF
33. Automatic Sexism Detection with Multilingual Transformer Models.2021.PDF
34. Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models.2021.EACL.PDF
35. Ruddit: Norms of Offensiveness for English Reddit Comments.2021.PDF
36. Evaluating Gender Bias in Hindi-English Machine Translation.2021.PDF
37. Subjective Bias in Abstractive Summarization.2021.PDF
38. Predicting Gender of Brazilian Names Using Deep Learning.2021.PDF
39. A Survey of Race, Racism, and Anti-Racism in NLP.2021.PDF
40. On Positivity Bias in Negative Reviews.2021.PDF
41. Towards Understanding and Mitigating Social Biases in Language Models.2021.PDF
42. A Source-Criticism Debiasing Method for GloVe Embeddings.2021.PDF
43. Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics.2021.PDF
44. On the Interaction of Belief Bias and Explanations.2021.PDF
45. Sexism in the Judiciary.2021.PDF
46. Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning.2021.PDF
47. Generating Gender Augmented Data for NLP.2021.PDF
48. Intersectional Bias in Causal Language Models.2021.PDF
49. Using Adversarial Debiasing to Remove Bias from Word Embeddings.2021.PDF
50. Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages.2021.PDF
51. How Do Pedophiles Tweet? Investigating the Writing Styles and Online Personas of Child Cybersex Traffickers in the Philippines.2021.PDF
52. Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives.2021.PDF
53. Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition.2021.PDF
54. Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management.2021.PDF
55. SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection.2021.PDF
56. GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-linguistic Natural Gender Phenomena.2021.PDF
57. What do Bias Measures Measure?.2021.PDF
58. Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases.2021.PDF
59. 2020 U.S. Presidential Election: Analysis of Female and Male Users on Twitter.2021.PDF
60. Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models.2021.PDF
61. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.2021.PDF
62. A Generative Approach for Mitigating Structural Biases in Natural Language Inference.2021.PDF
63. Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments.2021.PDF
64. Machine-Learning Media Bias.2021.PDF
65. Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques.2021.PDF
66. SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms".2021.PDF
67. Sustainable Modular Debiasing of Language Models.2021.PDF
68. Hi, My Name Is Martha: Using Names to Measure and Mitigate Bias in Generative Dialogue Models.2021.PDF
69. Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation.2021.PDF
70. Debiasing Methods in Natural Language Understanding Make Bias More Accessible.2021.PDF
71. Assessing the Reliability of Word Embedding Gender Bias Measures.2021.PDF
72. Mitigating Language-Dependent Ethnic Bias in BERT.2021.PDF
73. NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives.2021.PDF
74. Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search.2021.PDF
75. Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.2021.PDF
76. The Emergence of the Shape Bias Results from Communicative Efficiency.2021.PDF
77. Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects.2021.PDF
78. Balancing out Bias: Achieving Fairness Through Training Reweighting.2021.PDF
79. Model Bias in NLP - Application to Hate Speech Classification.2021.PDF
80. A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches.2021.PDF
81. UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims.2021.PDF
82. Stepmothers Are Mean and Academics Are Pretentious: What Do Pretrained Language Models Learn about You?.2021.PDF
83. Contrastive Learning for Fair Representations.2021.PDF
84. Fairness-aware Class Imbalanced Learning.2021.PDF
85. Evaluating Debiasing Techniques for Intersectional Biases.2021.PDF
86. Can Question Generation Debias Question Answering Models? A Case Study on Question-context Lexical Overlap.2021.PDF
87. Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender.2021.PDF
88. Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding.2021.PDF
89. Mitigating Racial Biases in Toxic Language Detection with an Equity-based Ensemble Framework.2021.PDF
90. How Different Text-preprocessing Techniques Using The BERT Model Affect The Gender Profiling of Authors.2021.PDF
91. VoxCeleb Enrichment for Age and Gender Recognition.2021.PDF
92. Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings.2021.PDF
93. Marked Attribute Bias in Natural Language Inference.2021.PDF
94. Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution.2021.PDF
95. #ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics.2021.PDF
96. Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens.2021.PDF
97. Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models.2021.PDF
98. Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models.2021.PDF
99. Representation of Professions in Entertainment Media: Insights into Frequency and Sentiment Trends through Computational Text Analysis.2021.PDF
100. Evaluation of Summarization Systems across Gender, Age, and Race.2021.PDF
101. Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting.2021.PDF
102. BBQ: A Hand-Built Bias Benchmark for Question Answering.2021.PDF
103. Don't Speak Too Fast: The Impact of Data Bias on Self-supervised Speech Models.2021.PDF
104. Socially Aware Bias Measurements for Hindi Language Representations.2021.PDF
105. The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color.2021.PDF
106. Don't Judge Me by My Face: An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews.2021.PDF
107. The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses.2021.PDF
108. An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.2021.PDF
109. AequeVox: Automated Fairness Testing of Speech Recognition Systems.2021.PDF
110. Hate Speech Classifiers Learn Human-like Social Stereotypes.2021.PDF
111. Transformer Ensembles for Sexism Detection.2021.PDF
112. Detecting Gender Bias in Transformer-based Models: A Case Study on BERT.2021.PDF
113. Deep Learning for Bias Detection: From Inception to Deployment.2021.PDF
114. The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning.2021.PDF
115. Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors.2021.PDF
116. Sexism Identification in Tweets and Gabs using Deep Neural Networks.2021.PDF
117. Words of Wisdom: Representational Harms in Learning From AI Communication.2021.PDF
118. Assessing gender bias in medical and scientific masked language models with StereoSet.2021.PDF
119. Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification.2021.PDF
120. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection.2021.PDF
121. Evaluating Metrics for Bias in Word Embeddings.2021.PDF
122. Investigating Cross-Linguistic Gender Bias in Hindi-English Across Domains.2021.PDF
123. The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse.2021.PDF
124. Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models.2021.PDF
125. raceBERT -- A Transformer-based Model for Predicting Race from Names.2021.PDF
126. Reducing Target Group Bias in Hate Speech Detectors.2021.PDF
127. Ethical and Social Risks of Harm from Language Models.2021.PDF
128. Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving.2021.PDF
129. Towards A Reliable Ground-truth For Biased Language Detection.2021.PDF
130. Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings.2021.PDF
131. Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models.2021.PDF
132. Do You Think It's Biased? How To Ask For The Perception Of Media Bias.2021.PDF
133. Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases.2021.PDF
134. Analyzing the Limits of Self-Supervision in Handling Bias in Language.2021.PDF
135. Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring.2021.PDF
136. Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets.2021.PDF
137. Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations.2021.PDF
138. LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without Using Linguistic Features.2021.PDF
139. Quantifying Gender Biases Towards Politicians on Reddit.2021.PDF
140. An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles.2021.PDF
141. Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification.2022.PDF
142. AI & Racial Equity: Understanding Sentiment Analysis Artificial Intelligence, Data Security, and Systemic Theory in Criminal Justice Systems.2022.PDF
143. Quantifying Gender Bias in Consumer Culture.2022.PDF
144. Unintended Bias in Language Model-drivenConversational Recommendation.2022.PDF
145. Gender Bias in Text: Labeled Datasets and Lexicons.2022.PDF
146. Regional Negative Bias in Word Embeddings Predicts Racial Animus - But Only via Name Frequency.2022.PDF
147. Can Model Compression Improve NLP Fairness.2022.PDF
148. Bias in Automated Speaker Recognition.2022.PDF
149. Modeling Multi-level Context for Informational Bias Detection by Contrastive Learning and Sentential Graph Network.2022.PDF
150. Causal Effect of Racial Bias in Data and Machine Learning Algorithms on User Persuasiveness & Discriminatory Decision Making: An Empirical Study.2022.PDF
151. Gender Stereotypes in the Mediated Personalization of Politics: Empirical Evidence from a Lexical, Syntactic and Sentiment Analysis.2022.PDF
152. DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-image Generative Transformers.2022.PDF
153. Counterfactual Multi-token Fairness in Text Classification.2022.PDF
154. Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks.2022.PDF
155. Capturing Failures of Large Language Models via Human Cognitive Biases.2022.PDF
156. Exploring the Unfairness of DP-SGD Across Settings.2022.PDF
157. Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender.2022.PDF
158. Screening Gender Transfer in Neural Machine Translation.2022.PDF
159. Language Technology Practitioners as Language Managers: Arbitrating Data Bias and Predictive Bias in ASR.2022.PDF
160. ArabGend: Gender Analysis and Inference on Arabic Twitter.2022.PDF
161. Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods.2022.PDF
162. Speciesist Language and Nonhuman Animal Bias in English Masked Language Models.2022.PDF
163. Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings.2022.PDF
164. ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.2022.PDF
165. Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching.2022.PDF
166. Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists.2022.PDF
167. Mitigating Gender Bias in Machine Translation through Adversarial Learning.2022.PDF
168. A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning.2022.PDF
169. A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation.2022.PDF
170. Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective.2022.PDF
171. Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.2022.PDF
172. Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings.2022.PDF
173. Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection.2022.PDF
174. bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments.2022.PDF
175. On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.2022.PDF
176. The SAME Score: Improved Cosine Based Bias Score for Word Embeddings.2022.PDF
177. To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo.2022.PDF
178. Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation.2022.PDF
179. A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems.2022.PDF
180. Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic.2022.PDF
181. Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Aid Developing Better Hate Speech Dataset?.2022.PDF
182. Fair and Argumentative Language Modeling for Computational Argumentation.2022.PDF
183. RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs.2022.PDF
184. NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias.2022.PDF
185. Generating Full Length Wikipedia Biographies: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies.2022.PDF
186. Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification.2022.PDF
187. TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes.2022.PDF
188. Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference.2022.PDF
189. How Gender Debiasing Affects Internal Model Representations, and Why It Matters.2022.PDF
190. Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection.2022.PDF
191. It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection.2022.PDF
192. Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.2022.PDF
193. Who Is Missing? Characterizing the Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus.2022.PDF
194. Analyzing Gender Representation in Multilingual Models.2022.PDF
195. A Survey on Bias and Fairness in Natural Language Processing.2022.PDF
196. Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil.2022.PDF
197. How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns.2022.PDF
198. Res-CNN-BiLSTM Network for Overcoming Mental Health Disturbances Caused Due to Cyberbullying through Social Media.2022.PDF
199. Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias.2022.PDF
200. AI Personification: Estimating the Personality of Language Models.2022.PDF
201. Learning to Split for Automatic Bias Detection.2022.PDF
202. Handling and Presenting Harmful Text.2022.PDF
203. Investigating Writing Style as a Contributor to Gender Gaps in Science and Technology.2022.PDF
204. Debiased Contrastive Learning of Unsupervised Sentence Representations.2022.PDF
205. Gender Bias in Masked Language Models for Multiple Languages.2022.PDF
206. The Implicit Length Bias of Label Smoothing on Beam Search Decoding.2022.PDF
207. Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation.2022.PDF
208. Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions.2022.PDF
209. User-centric Gender Rewriting.2022.PDF
210. Theories of "Gender" in NLP Bias Research.2022.PDF
211. Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection.2022.PDF
212. Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection.2022.PDF
213. Behind the Mask: Demographic Bias in Name Detection for PII Masking.2022PDF
214. Fair NLP Models with Differentially Private Text Encoders.2022.PDF
215. Mitigating Gender Stereotypes in Hindi and Marathi.2022.PDF
216. Twitter-Based Gender Recognition Using Transformers.2022.PDF
217. Using Natural Sentences for Understanding Biases in Language Models.2022.PDF
218. Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes.2022.PDF
219. Bias and Fairness on Multimodal Emotion Detection Algorithms.2022.PDF
220. Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements.2022.PDF
221. "I'm Sorry to Hear That": Finding Bias in Language Models with a Holistic Descriptor Dataset.2022.PDF
222. The Impact of COVID-19 Pandemic on LGBTQ Online Communitie.2022.PDF
223. Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation.2022.PDF
224. Gender Bias in Meta-Embeddings.2022.PDF
225. How Sensitive Are Translation Systems to Extra Contexts? Mitigating Gender Bias in Neural Machine Translation Models through Relevant Contexts.2022.PDF
226. Markedness in Visual Semantic AI.2022.PDF
227. Conditional Supervised Contrastive Learning for Fair Text Classification.2022.PDF
228. A Domain-adaptive Pre-training Approach for Language Bias Detection in News.2022.PDF
229. Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements.2022.PDF
230. Challenges in Measuring Bias via Open-ended Language Generation.2022.PDF
231. On Measuring Social Biases in Prompt-Based Multi-Task Learning.2022.PDF
232. Helpfulness and Fairness of Task-Oriented Dialogue Systems.2022.PDF
233. ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection.2022.PDF
234. Toward Understanding Bias Correlations for Mitigation in NLP.2022.PDF
235. Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages.2022.PDF
236. Perturbation Augmentation for Fairer NLP.2022.PDF
237. Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks.2022.PDF
238. StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes.2022.PDF
239. UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification.2022.PDF
240. What are People Talking about in #BackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerging in Online Social Movements through the Latent Dirichlet Allocation Model.2022.PDF
241. Parameter Efficient Diff Pruning for Bias Mitigation.2022.PDF
242. Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues.2022.PDF
243. Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback.2022.PDF
244. BD-SHS: A Benchmark Dataset for Learning to Detect Online Bangla Hate Speech in Different Social Contexts.2022.PDF
245. Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals.2022.PDF
246. Speech Detection Task Against Asian Hate: BERT the Central, While Data-Centric Studies the Crucial.2022.PDF
247. [Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement.2022.PDF
248. Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics.2022.PDF
249. Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models.2022.PDF
250. Codec at SemEval-2022 Task 5: Multi-modal Multi-transformer Misogynous Meme Classification Framework.2022.PDF
251. Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models.2022.PDF
252. Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media.2022.PDF
253. Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias.2022.PDF
254. Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information.2022.PDF
255. Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models.2022.PDF
256. Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models.2022.PDF
257. A Disability Lens towards Biases in GPT-3 Generated Open-Ended Languages.2022.PDF
258. Towards Lexical Gender Inference: A Scalable Methodology using Online Databases.2022.PDF
259. Flexible Text Generation for Counterfactual Fairness Probing.2022.PDF
260. Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning.2022.PDF
261. An Approach to Ensure Fairness in News Articles.2022.PDF
262. FairDistillation: Mitigating Stereotyping in Language Models.2022.PDF
263. A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition.2022.PDF
264. MRCLens: an MRC Dataset Bias Detection Toolkit.2022.PDF
265. Selection Bias Induced Spurious Correlations in Large Language Models.2022.PDF
266. Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals.2022.PDF
267. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?.2022.PDF
268. The Birth of Bias: A Case Study on the Evolution of Gender Bias in an English Language Model.2022.PDF
269. Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities.2022.PDF
270. Bias in (Non)-Contextual Clinical Word Embeddings.2022.PDF
271. On the Limitations of Sociodemographic Adaptation with Transformers.2022.PDF
272. Generative Bias for Visual Question Answering.2022.PDF
273. Exploring Gender Bias in Retrieval Models.2022.PDF
274. Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment.2022.PDF
275. Selection Collider Bias in Large Language Models.2022.PDF
276. Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor.2022.PDF
277. Evolving Label Usage within Generation Z when Self-Describing Sexual Orientation.2022.PDF
278. Debiasing Word Embeddings with Nonlinear Geometry.2022.PDF
279. Decoding Demographic Un-fairness from Indian Names.2022.PDF
280. Measuring Geographic Performance Disparities of Offensive Language Classifiers.2022.PDF
281. UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs.2022.PDF
282. APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations.2022.PDF
283. Quantifying How Hateful Communities Radicalize Online Users.2022.PDF
284. Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning.2022.PDF
285. Power of Explanations: Towards Automatic Debiasing in Hate Speech Detection.2022.PDF
286. Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling.2022.PDF

Review article

1. The Psychology of Prejudice, Stereotyping and Discrimination: An Overview.2003.PDF
2. Mitigating Gender Bias in Natural Language Processing: Literature Review.2019.PDF
3. Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview.2020.PDF
4. Language (Technology) is Power: A Critical Survey of “Bias” in NLP.2020.ACL.PDF
5. Societal Biases in Language Generation: Progress and Challenges.2021.ACL.PDF
6. Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models.2021.PDF
7. An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-Trained Language Models.2021.PDF
8. A Survey on Gender Bias in Natural Language Processing.2021.PDF
9. A Survey on Bias in Deep NLP.2021.PDF

Bias analysis

1. Man Is to Computer Programmer as Woman Is to Homemaker? Debiasing Word Embeddings.2016.PDF
2. Gender Bias and Sexism in Language.2017.PDF
3. Men Also Like Shopping: Reducing Gender Bias Amplification Using Corpus-level Constraints.2017.EMNLP(Best Long Paper).PDF
4. Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes.2018.PDF.Code
5. Understanding the Origins of Bias in Word Embeddings.2018.PDF
6. Is there Gender bias and stereotype in Portuguese Word Embeddings?.2018.PDF
7. Learning Gender-Neutral Word Embeddings.2018.EMNLP.PDF
8. Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence.2018.PDF
9. Measuring and Mitigating Unintended Bias in Text Classification.2018.AAAI.PDF
10. Gender Bias in Sentiment Analysis.2018.PDF
11. Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems.2018.PDF
12. Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis.2019.PDF
13. Gender Bias in Contextualized Word Embeddings.2019.PDF
14. Evaluating the Underlying Gender Bias in Contextualized Word Embeddings.2019.PDF
15. Measuring Bias in Contextualized Word Representations.2019.PDF
16. Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding.2019.PDF
17. Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990.2019.PDF
18. How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?.2019.PDF
19. Quantifying the Semantic Core of Gender Systems.2019.EMNLP.PDF
20. Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts.2019.PDF
21. Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis.2019.ACL.PDF
22. Towards Understanding Gender Bias in Neural Relation Extraction.2020.ACL.PDF
23. Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.2020.PDF
24. Analyzing Gender Bias within Narrative Tropes.2020.PDF
25. On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. NAACL 2021.PDF

Bias measurement

1. Measuring Individual Differences in Implicit Cognition: The Implicit Association Test.1998.PDF
2. National Differences in Gender–science Stereotypes Predict National Sex Differences in Science and Math Achievement.2009.PNAS.PDF
3. First Women, Second Sex: Gender Bias in Wikipedia.2015.PDF
4. It's A Man's Wikipedia? Assessing Gender Inequality in An Online Encyclopedia.2015.PDF
5. Social Bias in Elicited Natural Language Inference.2017.PDF
6. Semantics Derived Automatically from Language Corpora Contain Human-like Biases.2017.PDF
7. Gender Bias in Neural Natural Language Processing.2018.PDF
8. Reducing Gender Bias in Abusive Language Detection.2018.PDF
9. Gender Bias in Coreference Resolution.2018.PDF
10. Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns.2018.PDF
11. Toward Gender-inclusive Coreference Resolution.2019.PDF
12. Measuring Bias in Contextualized Word Representations.2019.PDF
13. Assessing Social and Intersectional Biases in Contextualized Word Representations.2019.NIPS.PDF
14. Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories.2019.PDF
15. On Measuring Social Biases in Sentence Encoders.2019.PDF
16. Black Is to Criminal as Caucasian Is to Police: Detecting and Removing Multiclass Bias in Word Embeddings.2019.PDF
17. Lipstick on A Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings but Do Not Remove Them.2019.PDF
18. Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts.2019.PDF
19. StereoSet: Measuring stereotypical bias in pretrained language models.2020.PDF

Bias Detection

1. Automatic recognition of habituals: a three-way classification of clausal aspect.2015.EMNLP.PDF
2. Identifying Generic Noun Phrases.2015.PDF
3. Illegal is not a Noun: Linguistic Form for Detection of Pejorative Nominalizations.2017.PDF
4. Identifying Semantic Edit Intentions from Revisions in Wikipedia.2017.PDF
5. Detecting Biased Statements in Wikipedia.2018.PDF
6. Neural Based Statement Classification for Biased Language.2018.PDF
7. Identifying Framing Bias in Online News.2018.PDF
8. Unsupervised Discovery of Implicit Gender Bias.2020.EMNLP.PDF
9. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models.EMNLP 2020.PDF

Model de-bias

1. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter.2016.PDF
2. Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.2018.NAACL.PDF
3. Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies.2018.PDF
4. Learning Gender-Neutral Word Embeddings.2018.EMNLP.PDF
5. Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior.2018.PDF
6. Mitigating Unwanted Biases with Adversarial Learning.2018.PDF
7. The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution.2018.PDF
8. Mitigating Gender Bias in Natural Language Processing: Literature Review.2019.PDF
9. Gender Bias in Contextualized Word Embeddings.2019.PDF
10. It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution.2019.PDF
11. Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology.2019.ACL.PDF
12. Getting Gender Right in Neural Machine Translation.2019.PDF
13. Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques.2019.PDF
14. Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection.2019.PDF
15. Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function.2019.PDF
16. The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations.2019.ACL.PDF
17. Conceptor Debiasing of Word Representations Evaluated on WEAT.2019.PDF
18. Gender-preserving Debiasing for Pre-trained Word Embeddings.2019.PDF
19. Examining Gender Bias in Languages with Grammatical Gender.2019.EMNLP.PDF
20. Generating Clues for Gender based Occupation De-biasing in Text.2019.PDF
21. Women, Politics and Twitter: Using Machine Learning to Change the Discourse.2019.PDF
22. Resolving Gendered Ambiguous Pronouns with BERT.2019.PDF
23. Transfer Learning from Pre-trained BERT for Pronoun Resolution.2019.PDF
24. On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution.2019.PDF
25. Gendered Pronoun Resolution Using BERT and an Extractive Question Answering Formulation.2019.PDF
26. BERT Masked Language Modeling for Co-reference Resolution.2019.PDF
27. Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution.2019.PDF
28. MSnet:A BERT-based Network for Gendered Pronoun Resolution.2019.PDF
29. Fill the GAP: Exploiting BERT for Pronoun Resolution.2019.PDF
30. Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge.2019.PDF
31. Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling.2019.PDF
32. Towards Understanding Gender Bias in Neural Relation Extraction.2020.ACL.PDF
33. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem.2020.ACL.PDF
34. A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations.2020.AAAI.PDF
35. Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.2020.ACL.PDF
36. Mitigating Media Bias through Neutral Article Generation.2021.PDF
37. Mitigating Political Bias in Language Models Through Reinforced Calibration.2021.AAAI.(Best Paper).PDF
38. Debiasing Pre-trained Contextualised Embeddings.2021.PDF
39. UnQovering Stereotyping Biases via Underspecified Questions.Findings of EMNLP 2020.PDF
40. Contextualizing Hate Speech Classifiers with Post-hoc Explanation. ACL 2020.PDF
41. Learning Adversarially Fair and Transferable Representations. ICML 2018. PDF

Text de-bias

1. When He Doesn’t Mean You: GenderExclusive Language as Ostracism.2011.PDF
2. Can Gender Fair Language Reduce Gender Stereotyping and Discrimination?.2016.HTML
3. Connotation Frames of Power and Agency in Modern Films.2017.PDF
4. Style Transfer Through Back-Translation.2018.PDF
5. Proposed Taxonomy for Gender Bias in Text;A Filtering Methodology for the Gender Generalization Subtype.2019.PDF
6. Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation.2019.PDF
7. Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories.2019.PDF
8. Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation.2019.PDF
9. Automatic Gender Identification and Reinflection in Arabic.2019.PDF
10. Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology.2019.ACL.PDF
11. Multi-Dimensional Gender Bias Classification.2020.PDF
12. Automatically Neutralizing Subjective Bias in Text.2020.AAAI.PDF
13. DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network.2020.PDF
14. PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction.2020.PDF
15. Plug and Play Language Models: A Simple Approach to Controlled Text Generation.2020.PDF
16. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP.2021.PDF
17. They, Them, Theirs: Rewriting with Gender-Neutral English.2021.PDF
18. Challenges in Automated Debiasing for Toxic Language Detection.2021.EACL.PDF
19. Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech.2021.ACL.PDF

Data set

1. Detecting Hate Speech on the World Wide Web.2012.PDF
2. Automated Dictionary Creation for Analyzing Text: An Illustration from Stereotype Content.2019.PDF
3. Comprehensive stereotype content dictionaries using a semi-automated method.2020.PDF
4. GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies.2020.PDF
5. Social Bias Frames: Reasoning about Social and Power Implications of Language.2020.PDF
6. StereoSet: Measuring Stereotypical Bias in Pretrained Language Models.2020.PDF
7. He said “who’s gonna take care of your children when you are at ACL?”:Reported Sexist Acts are Not Sexist.2020.ACL.PDF
8. BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation.2021.PDF
9. Ruddit: Norms of Offensiveness for English Reddit Comments.ACL 2021.PDF

10.Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks.2022.PDF

Conference

ACL 2021 Papers

1. Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
2. Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
3. Bad Seeds: Evaluating Lexical Methods for Bias Measurement
4. Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
5. Societal Biases in Language Generation: Progress and Challenges
6. De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
7. StereoSet: Measuring stereotypical bias in pretrained language models
8. Counterfactual Inference for Text Classification Debiasing
9. Gender bias amplification during Speed-Quality optimization in Neural Machine Translation
10. On Positivity Bias in Negative Reviews
11. Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia
12. Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
13. [Personal Bias in Prediction of Emotions Elicited by Textual Opinions

Morality and natural language processing

1. Ruddit: Norms of Offensiveness for English Reddit Comments
2. Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
3. A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
4. Structurizing Misinformation Stories via Rationalizing Fact-Checks
5. Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
6. Can Sequence-to-Sequence Models Crack Substitution Ciphers?
7. Societal Biases in Language Generation: Progress and Challenges
8. Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection
9. Bad Seeds: Evaluating Lexical Methods for Bias Measurement
10. Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
11. A Survey of Race, Racism, and Anti-Racism in NLP
12. Examining the Inductive Bias of Neural Language Models with Artificial Languages
13. Changing the World by Changing the Data
14. Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
15. Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?
16. StereoSet: Measuring stereotypical bias in pretrained language models
17. Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
18. Intrinsic Bias Metrics Do Not Correlate with Application Bias
19. Annotating Online Misogyny

EMNLP

1. Men Also Like Shopping: Reducing Gender Bias Amplification Using Corpus-level Constraints.2017.PDF
2. De-Biased Court’s View Generation with Causality.2020.PDF

2021

1. GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation.
2. Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender.
3. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.
4. Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search.
5. Identifying Morality Frames in Political Tweets using Relational Learning.
6. Mitigating Language-Dependent Ethnic Bias in BERT.
7. How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
8. Latent Hatred: A Benchmark for Understanding Implicit Hate Speech.
9. Inducing Stereotypical Character Roles from Plot Structure
10. "Be nice to your wife! The restaurants are closed": Can Gender Stereotype Detection Improve Sexism Classification?

Comment

1. Gender Bias and Sexism in Language.Oxford Research Encyclopedia of Communication.2017.PDF
2. AI Can Be Sexist and Racist—It’s Time to Make It Fair.2018.Nature.PDF

Psychology

1. Implicit Bias: What It Means and How It Affects Behavior.HTML

Relevant literature

1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.2020.PDF

Prompt

1. Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.2021.EACL.PDF
2. It’s not just size that matters: Small language models are also few-shot learners.2021.NAACL.PDF
3. Making Pre-trained Language Models Better Few-shot Learners.2021.ACL.PDF

Group Image

1. Social Identity Theory.1979.HTML
2. Narrative Language as an Expression of Individual and Group Identity: The Narrative Categorical Content Analysis.2013.PDF

MY LIST

1. Detecting Gender Stereotypes: Lexicon vs. Supervised Learning Methods.2020.ACM.PDF
2. Implicitly Abusive Language – What does it actually look like and why are we not getting there?2021.NAACL.PDF