Fetching the paper…
Reading the bibliography…
Detecting online toxicity has always been a challenge due to its inherent subjectivity.
WordNet: a lexical database for English
George A Miller. 1995 · 1995
Earlier work this paper cites.
Measuring individual differences in implicit cognition: The implicit association test
Anthony G. Greenwald, Debbie E. McGhee, and Jordan L. K. Schwartz. 1998 · 1998
Earlier work this paper cites.
African-American language use: Ideology and so-called obscenity
Arthur K Spears et al · 1998
Earlier work this paper cites.
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 15–20
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2018 · 2003
Earlier work this paper cites.
The Online Disinhibition Effect
J. Suler. 2004 · 2004
Earlier work this paper cites.
Intersectional Bias in Hate Speech and Abusive Language Datasets
Jae Yeon Kim, Carlos Ortiz, Sarah Nam, Sarah Santiago, and Vivek Datta. 2020 · 2005
Earlier work this paper cites.
Fast unfolding of communities in large networks
Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008 · 2008
Earlier work this paper cites.
Discovering Sociolinguistic Associations with Structured Sparsity. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Portland, Oregon, USA, 1365–1374
Jacob Eisenstein, Noah A. Smith, and Eric P. Xing. 2011 · 2011
Earlier work this paper cites.
Tomás Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
The Psychology of Hatred
Jose I. Navarro. 2013 · 2013
Earlier work this paper cites.
Glove: Global vectors for word representation. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP) . 1532–1543
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Earlier work this paper cites.
Structural topic models for open-ended survey responses
Margaret E Roberts, Brandon M Stewart, Dustin Tingley, Christopher Lucas, Jetson Leder-Luis, Shana Kushner Gadarian, Bethany Albertson, and David G Rand. 2014 · 2014
Earlier work this paper cites.
Developing age and gender predictive lexica over social media. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 1146–1151
Maarten Sap, Gregory Park, Johannes Eichstaedt, Margaret Kern, David Stillwell, Michal Kosinski, Lyle Ungar, and H Andrew Schwartz. 2014 · 2014
Earlier work this paper cites.
The Evolution of Cognitive Bias
Martie G. Haselton, Daniel Nettle, and Paul W. Andrews. 2015 · 2015
Earlier work this paper cites.
Demographic Dialectal Variation in Social Media: A Case Study of African-American English. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Austin, Texas, 1119–1130
Su Lin Blodgett, Lisa Green, and Brendan O’Connor. 2016 · 2016
Earlier work this paper cites.
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. In Proceedings of the 30th International Conference on Neural Information Processing Systems (Barcelona, Spain) (NIPS’16) . Curran Associates Inc., Red Hook, NY, USA, 4356–4364
Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai. 2016 · 2016
Earlier work this paper cites.
Human language is a culturally evolving system
Luc Steels. 2016 · 2016
Earlier work this paper cites.
Are you a racist or am i seeing things? annotator influence on hate speech detection on twitter. In Proceedings of the first workshop on NLP and computational social science . 138–142
Zeerak Waseem. 2016 · 2016
Earlier work this paper cites.
Hateful symbols or hateful people? predictive features for hate speech detection on twitter. In Proceedings of the NAACL student research workshop . 88–93
Zeerak Waseem and Dirk Hovy. 2016 · 2016
Earlier work this paper cites.
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017a · 2017
Earlier work this paper cites.
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, and Arvind Narayanan. 2017b · 2017
Earlier work this paper cites.
Automated hate speech detection and the problem of offensive language. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 11
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
Earlier work this paper cites.
Identifying Regional Dialects in On-Line Social Media
Jacob Eisenstein. 2017 · 2017
Earlier work this paper cites.
A Large Labeled Corpus for Online Harassment Research. In Proceedings of the 2017 ACM on Web Science Conference (Troy, New York, USA) (WebSci ’17) . Association for Computing Machinery, New York, NY, USA, 229–233
Jennifer Golbeck, Zahra Ashktorab, Rashad O. Banjo, Alexandra Berlinger, Siddharth Bhagwan, Cody Buntain, Paul Cheakalos, Alicia A. Geller, Quint Gergory, Rajesh Kumar Gnanasekaran, Raja Rajan Gunasekaran, Kelly M. Hoffman, Jenny Hottle, Vichita Jienjitlert, Shivika Khare, Ryan Lau, Marianna J. Martindale, Shalmali Naik, Heather L. Nixon, Piyush Ramachandran, Kristine M. Rogers, Lisa Rogers, Meghna Sardana Sarin, Gaurav Shahane, Jayanee Thanki, Priyanka Vengataraman, Zijian Wan, and Derek Michael Wu. 2017 · 2017
Earlier work this paper cites.
Measuring the reliability of hate speech annotations: The case of the european refugee crisis
Björn Ross, Michael Rist, Guillermo Carbonell, Benjamin Cabrera, Nils Kurowsky, and Michael Wojatzki. 2017 · 2017
Earlier work this paper cites.
A survey on hate speech detection using natural language processing. In Proceedings of the fifth international workshop on natural language processing for social media . 1–10
Anna Schmidt and Michael Wiegand. 2017 · 2017
Earlier work this paper cites.
Gender and Dialect Bias in YouTube’s Automatic Captions. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing . Association for Computational Linguistics, Valencia, Spain, 53–59
Rachael Tatman. 2017 · 2017
Earlier work this paper cites.
Ex machina: Personal attacks seen at scale. In Proceedings of the 26th international conference on world wide web . 1391–1399
Ellery Wulczyn, Nithum Thain, and Lucas Dixon. 2017 · 2017
Earlier work this paper cites.
Are they our brothers? Analysis and detection of religious hate speech in the Arabic Twittersphere. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) . IEEE, 69–76
Nuha Albadi, Maram Kurdi, and Shivakant Mishra. 2018 · 2018
Earlier work this paper cites.
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency (Proceedings of Machine Learning Research, Vol. 81) , Sorelle A. Friedler and Christo Wilson (Eds.). PMLR, 77–91
Joy Buolamwini and Timnit Gebru. 2018 · 2018
Earlier work this paper cites.
Hate speech dataset from a white supremacy forum
Ona de Gibert, Naiara Perez, Aitor García-Pablos, and Montse Cuadros. 2018 · 2018
Earlier work this paper cites.
Measuring and mitigating unintended bias in text classification. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society . 67–73
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018 · 2018
Earlier work this paper cites.
Overview of the evalita 2018 task on automatic misogyny identification (ami)
Elisabetta Fersini, Debora Nozza, and Paolo Rosso. 2018 · 2018
Earlier work this paper cites.
Why We Hate
Agneta Fischer, Eran Halperin, Daphna Canetti, and Alba Jasini. 2018 · 2018
Earlier work this paper cites.
A survey on automatic detection of hate speech in text
Paula Fortuna and Sérgio Nunes. 2018 · 2018
Earlier work this paper cites.
Large scale crowdsourcing and characterization of twitter abusive behavior. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 12
Antigoni Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, and Nicolas Kourtellis. 2018 · 2018
Earlier work this paper cites.
The Gab Hate Corpus: A collection of 27k posts annotated for hate speech
Brendan Kennedy, Mohammad Atari, Aida Mostafazadeh Davani, Leigh Yeh, Ali Omrani, Yehsong Kim, Kris Coombs, Shreya Havaldar, Gwenyth Portillo-Wightman, Elaine Gonzalez, et al · 2018
Earlier work this paper cites.
Author profiling for abuse detection. In Proceedings of the 27th international conference on computational linguistics . 1088–1098
Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, and Ekaterina Shutova. 2018 · 2018
Earlier work this paper cites.
Reducing Gender Bias in Abusive Language Detection. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Brussels, Belgium, 2799–2804
Ji Ho Park, Jamin Shin, and Pascale Fung. 2018 · 2018
Earlier work this paper cites.
User-level race and ethnicity predictors from twitter text. In Proceedings of the 27th International Conference on Computational Linguistics . 1534–1545
Daniel Preoţiuc-Pietro and Lyle Ungar. 2018 · 2018
Cited alongside, same era.
Overview of the germeval 2018 shared task on the identification of offensive language
Michael Wiegand, Melanie Siegel, and Josef Ruppenhofer. 2018 · 2018
Cited alongside, same era.
Hate speech detection is not as easy as you may think: A closer look at model validation. In Proceedings of the 42nd international acm sigir conference on research and development in information retrieval . 45–54
Aymé Arango, Jorge Pérez, and Barbara Poblete. 2019 · 2019
Cited alongside, same era.
Stereotypical bias removal for hate speech detection task using knowledge-based generalizations. In The World Wide Web Conference . 49–59
Pinkesh Badjatiya, Manish Gupta, and Vasudeva Varma. 2019 · 2019
Cited alongside, same era.
Towards Debiasing Sentence Representations. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 5502–5515
Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, and Louis-Philippe Morency. 2020 · 2020
Later among the works it cites.
Four Types of Toxic People: Characterizing Online Users’ Toxicity over Time. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society (Tallinn, Estonia) (NordiCHI ’20) . Association for Computing Machinery, New York, NY, USA, Article 37, 11 pages
Raghvendra Mall, Mridul Nagpal, Joni Salminen, Hind Almerekhi, Soon-Gyo Jung, and Bernard J. Jansen. 2020 · 2020
Later among the works it cites.
Hate speech detection and racial bias mitigation in social media based on BERT model
Marzieh Mozafari, Reza Farahbakhsh, and Noël Crespi. 2020 · 2020
Later among the works it cites.
Angry by design: toxic communication and technical architectures
Luke Munn. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2019a · 2019
Cited alongside, same era.
Nuanced metrics for measuring unintended bias with real data for text classification. In Companion proceedings of the 2019 world wide web conference . 491–500
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2019b · 2019
Cited alongside, same era.
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, Hong Kong, China, 4069–4082
Christopher Clark, Mark Yatskar, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
Racial Bias in Hate Speech and Abusive Language Detection Datasets. In Proceedings of the Third Workshop on Abusive Language Online . Association for Computational Linguistics, Florence, Italy, 25–35
Thomas Davidson, Debasmita Bhattacharya, and Ingmar Weber. 2019 · 2019
Cited alongside, same era.
A hierarchically-labeled portuguese hate speech dataset. In Proceedings of the Third Workshop on Abusive Language Online . 94–104
Paula Fortuna, Joao Rocha da Silva, Leo Wanner, Sérgio Nunes, et al · 2019
Cited alongside, same era.
On making reading comprehension more comprehensive. In Proceedings of the 2nd Workshop on Machine Reading for Question Answering . 105–112
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, and Sewon Min. 2019 · 2019
Cited alongside, same era.
Twitter-based polarised embeddings for abusive language detection. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) . IEEE, 1–7
Leon Graumas, Roy David, and Tommaso Caselli. 2019 · 2019
Cited alongside, same era.
Multilingual detection of hate speech against immigrants and women in Twitter at SemEval-2019 task 5: Frequency analysis interpolation for hate in speech detection. In Proceedings of the 13th International Workshop on Semantic Evaluation . 460–463
Òscar Garibo i Orts. 2019 · 2019
Cited alongside, same era.
BERTweet: A pre-trained language model for English Tweets. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations . Association for Computational Linguistics, Online, 9–14
Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020 · 2020
Later among the works it cites.
Comparative evaluation of label agnostic selection bias in multilingual hate speech datasets. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 2532–2542
Nedjma Ousidhoum, Yangqiu Song, and Dit-Yan Yeung. 2020 · 2020
Later among the works it cites.
Investigating sampling bias in abusive language detection. In Proceedings of the Fourth Workshop on Online Abuse and Harms . 70–78
Dante Razo and Sandra Kübler. 2020 · 2020
Later among the works it cites.
Topic-driven toxicity: Exploring the relationship between online toxicity and news topics
Joni Salminen, Sercan Sengün, Juan Corporan, Soon gyo Jung, and Bernard J. Jansen. 2020 · 2020
Later among the works it cites.
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 5248–5264
Deven Santosh Shah, H. Andrew Schwartz, and Dirk Hovy. 2020 · 2020
Later among the works it cites.
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, 9275–9293
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, and Yejin Choi. 2020 · 2020
Later among the works it cites.
Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection
Ameya Vaidya, Feng Mai, and Yue Ning. 2020 · 2020
Later among the works it cites.
Lower Bias, Higher Density Abusive Language Datasets: A Recipe. In Proceedings of the Workshop on Resources and Techniques for User and Author Profiling in Abusive Language . 14–19
Juliet van Rosendaal, Tommaso Caselli, and Malvina Nissim. 2020 · 2020
Later among the works it cites.
Towards fairness in visual recognition: Effective strategies for bias mitigation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8919–8928
Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, and Olga Russakovsky. 2020 · 2020
Later among the works it cites.
Demoting Racial Bias in Hate Speech Detection. In Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media . Association for Computational Linguistics, Online, 7–14
Mengzhou Xia, Anjalie Field, and Yulia Tsvetkov. 2020 · 2020
Later among the works it cites.
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 4134–4145
Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, and Tiejun Zhao. 2020 · 2020
Later among the works it cites.
Measuring Model Biases in the Absence of Ground Truth. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (Virtual Event, USA) (AIES ’21) . Association for Computing Machinery, New York, NY, USA, 327–335
Osman Aka, Ken Burke, Alex Bauerle, Christina Greer, and Margaret Mitchell. 2021 · 2021
Later among the works it cites.
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 1968–1994
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff Phillips, and Kai-Wei Chang. 2021 · 2021
Later among the works it cites.
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 345–363
Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, and Diyi Yang. 2021 · 2021
Later among the works it cites.
A Survey on Bias in Deep NLP
Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Martínez-Santiago, and L. Alfonso Ureña-López. 2021 · 2021
Later among the works it cites.
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021) . Association for Computational Linguistics, Online, 313–328
Sayan Ghosh, Dylan Baker, David Jurgens, and Vinodkumar Prabhakaran. 2021 · 2021
Later among the works it cites.
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21) . Association for Computing Machinery, New York, NY, USA, Article 388, 14 pages
Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, and Michael S. Bernstein. 2021 · 2021
Later among the works it cites.
Algorithmic amplification of politics on Twitter
Ferenc Huszár, Sofia Ira Ktena, Conor O’Brien, Luca Belli, Andrew Schlaikjer, and Moritz Hardt. 2021 · 2021
Later among the works it cites.
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline. In Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion . Association for Computational Linguistics, Kyiv, 34–45
Senthil Kumar, Aravindan Chandrabose, and Bharathi Raja Chakravarthi. 2021 · 2021
Later among the works it cites.
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 . Association for Computational Linguistics, Online, 74–85
Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, and Jiliang Tang. 2021 · 2021
Later among the works it cites.
Detecting Harmful Memes and Their Targets. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 . Association for Computational Linguistics, Online, 2783–2796
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, and Tanmoy Chakraborty. 2021a · 2021
Later among the works it cites.
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. In Findings of the Association for Computational Linguistics: EMNLP 2021 . Association for Computational Linguistics, Punta Cana, Dominican Republic, 4439–4455
Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, and Tanmoy Chakraborty. 2021b · 2021
Later among the works it cites.
Lifelong Learning of Hate Speech Classification on Social Media. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 2304–2314
Jing Qian, Hong Wang, Mai ElSherief, and Xifeng Yan. 2021 · 2021
Later among the works it cites.
An Information Retrieval Approach to Building Datasets for Hate Speech Detection. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)
Md Mustafizur Rahman, Dinesh Balakrishnan, Dhiraj Murthy, Mucahid Kutlu, and Matthew Lease. 2021 · 2021
Later among the works it cites.
Invalid Claims About the Validity of Implicit Association Tests by Prisoners of the Implicit Social-Cognition Paradigm
Ulrich Schimmack. 2021 · 2021
Later among the works it cites.
Ethical and social risks of harm from Language Models
Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, and Iason Gabriel. 2021 · 2021
Later among the works it cites.
Towards generalisable hate speech detection: a review on obstacles and solutions
Wenjie Yin and Arkaitz Zubiaga. 2021 · 2021
Later among the works it cites.
Challenges in Automated Debiasing for Toxic Language Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume . Association for Computational Linguistics, Online, 3143–3155
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, and Noah Smith. 2021 · 2021
Later among the works it cites.
Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media
Tanmoy Chakraborty and Sarah Masud. 2022 · 2022
Closest in time.
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Dublin, Ireland, 3309–3326
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar. 2022 · 2022
Closest in time.
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation. In Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH) . Association for Computational Linguistics, Seattle, Washington (Hybrid), 29–39
Florian Ludwig, Klara Dolos, Torsten Zesch, and Eleanor Hobley. 2022 · 2022
Closest in time.
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Seattle, United States, 175–190
Paul Rottger, Bertie Vidgen, Dirk Hovy, and Janet Pierrehumbert. 2022 · 2022
Closest in time.
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach
Sheikh Muhammad Sarwar and Vanessa Murdock. 2022 · 2022
Closest in time.
The Birth of Bias: A case study on the evolution of gender bias in an English language model. In Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP) . Association for Computational Linguistics, Seattle, Washington, 75–75
Oskar Van Der Wal, Jaap Jumelet, Katrin Schulz, and Willem Zuidema. 2022 · 2022
Closest in time.
Online Hate Speech Victimization and Depressive Symptoms Among Adolescents: The Protective Role of Resilience
Sebastian Wachs, Manuel Gámez-Guadix, and Michelle F. Wright. 2022 · 2022
Closest in time.