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Online hate is a growing concern on many social media platforms and other sites.
A Comprehensive Survey on Graph Neural Networks
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A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
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Lisa J. Green. 2002 · 2002
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Fairness without Demographics through Adversarially Reweighted Learning
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You Are Who You Know: Inferring User Profiles in Online Social Networks. In Proceedings of the Third ACM International Conference on Web Search and Data Mining (New York, New York, USA) (WSDM ’10) . Association for Computing Machinery, New York, NY, USA, 251–260
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Egalitarian goals trigger stereotype inhibition: A proactive form of stereotype control
Gordon B. Moskowitz and Peizhong Li. 2011 · 2010
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Beyond and Below Racial Homophily: ERG Models of a Friendship Network Documented on Facebook
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Sampling directed graphs with random walks. In Proceedings - IEEE INFOCOM
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Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems . Neural information processing systems foundation
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Distributed representations ofwords and phrases and their compositionality. In Advances in Neural Information Processing Systems
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Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
Zeerak Waseem and Dirk Hovy. 2016 · 2013
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Contextual effect of positive intergroup contact on outgroup prejudice
Oliver Christ, Katharina Schmid, Simon Lolliot, Hermann Swart, Dietlind Stolle, Nicole Tausch, Ananthi Al Ramiah, Ulrich Wagner, Steven Vertovec, and Miles Hewstone. 2014 · 2014
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Global Connectivity and Multilinguals in the Twitter Network. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI ’14) . ACM, New York, NY, USA, 833–842
Scott A. Hale. 2014 · 2014
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Online Harassment , Defamation , and Hateful Speech: A Primer of the Legal Landscape CLIP Study Advisors
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Cyber hate speech on Twitter: An application of machine classification and statistical modeling for policy and decision making
Pete Burnap and Matthew L. Williams. 2015 · 2015
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Demographic dialectal variation in social media: A case study of African-American English. In EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
Su Lin Blodgett, Lisa Green, and Brendan O’Connor. 2016 · 2016
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Node2vec: Scalable feature learning for networks. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , Vol. 13-17-August-2016
Aditya Grover and Jure Leskovec. 2016 · 2016
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Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, and Nathan Srebro. 2016 · 2016
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Inherent Trade-Offs in the Fair Determination of Risk Scores
Detecting Offensive Language in Tweets Using Deep Learning
Georgios K Pitsilis, Heri Ramampiaro, and Helge Langseth. 2018 · 2018
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User-Level Race and Ethnicity Predictors from Twitter Text
Daniel Preot and Lyle Ungar. 2018 · 2018
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Characterizing and Detecting Hateful Users on Twitter
Manoel Ribeiro, Pedro Calais, Yuri Santos, Virgilio Almeida, and Meira Wagner. 2018 · 2018
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Fairness Definitions Explained. In Proceedings of the International Workshop on Software Fairness (Gothenburg, Sweden) (FairWare ’18) . Association for Computing Machinery, New York, NY, USA, 1–7
Sahil Verma and Julia Rubin. 2018 · 2018
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Detecting weak and strong Islamophobic hate speech on social media
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Jon M. Kleinberg, Sendhil Mullainathan, and Manish Raghavan. 2016 · 2016
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Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Athena Vakali. 2017 · 2017
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Automated hate speech detection and the problem of offensive language. In Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
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Inductive representation learning on large graphs. In Advances in Neural Information Processing Systems , Vol. 2017-December
William L. Hamilton, Rex Ying, and Jure Leskovec. 2017 · 2017
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AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. In Proceedings of the 26th International Conference on World Wide Web (Perth, Australia) (WWW ’17) . International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 1561–1569
Jinyuan Jia, Binghui Wang, Le Zhang, and Neil Zhenqiang Gong. 2017 · 2017
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A Measurement Study of Hate Speech in Social Media. In Proceedings of the 28th ACM Conference on Hypertext and Social Media (Prague, Czech Republic) (HT ’17) . Association for Computing Machinery, New York, NY, USA, 85–94
Mainack Mondal, Leandro Araújo Silva, and Fabrício Benevenuto. 2017 · 2017
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The Limits of Abstract Evaluation Metrics: The Case of Hate Speech Detection. In Proceedings of the 2017 ACM on Web Science Conference (WebSci ’17) . Association for Computing Machinery, New York, NY, USA, 405–406
Alexandra Olteanu, Kartik Talamadupula, and Kush R Varshney. 2017 · 2017
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Online Networks and Subjective Well-Being
Fabio Sabatini and Francesco Sarracino. 2017 · 2017
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Bertie Vidgen and Taha Yasseri. 2018 · 2018
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How Automated Tools Discriminate Against Black Language
Anna Chung. 2019 · 2019
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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
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Hidden resilience and adaptive dynamics of the global online hate ecology
N. F. Johnson, R. Leahy, N. Johnson Restrepo, N. Velasquez, M. Zheng, P. Manrique, P. Devkota, and S. Wuchty. 2019 · 2019
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Sluts and soyboys: MGTOW and the production of misogynistic online harassment
Callum Jones, Verity Trott, and Scott Wright. 2019 · 2019
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Precision-Recall versus Accuracy and the Role of Large Data Sets. In Proceedings of the AAAI Conference on Artificial Intelligence . Association for the Advancement of Artificial Intelligence, 4039–4048
Brendan Juba and Hai S. Le. 2019 · 2019
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Lecture: Graph Neural Networks
Jure Leskovec. 2019 · 2019
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Hate speech detection: Challenges and solutions
Sean MacAvaney, Hao-Ren Yao, Eugene Yang, Katina Russell, Nazli Goharian, and Ophir Frieder. 2019 · 2019
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Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection. 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, 118–123
Jing Qian, Mai ElSherief, Elizabeth Belding, and William Yang Wang. 2018 · 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 · 2019
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Hateful conduct policy
Twitter. 2019 · 2019
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Challenges and frontiers in abusive content detection. In Proceedings of the Third Workshop on Abusive Language Online . Association for Computational Linguistics, Florence, Italy, 80–93
Bertie Vidgen, Alex Harris, Dong Nguyen, Rebekah Tromble, Scott Hale, and Helen Margetts. 2019 · 2019
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Unlocking Fairness: a Trade-off Revisited
Michael Wick, Swetasudha Panda, and Jean-Baptiste Tristan. 2019 · 2019
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Normative Principles for Evaluating Fairness in Machine Learning. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (New York, NY, USA) (AIES ’20) . Association for Computing Machinery, New York, NY, USA, 86–92
Derek Leben. 2020 · 2020
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Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. In The World Wide Web Conference (San Francisco, CA, USA) (WWW ’19) . Association for Computing Machinery, New York, NY, USA, 2056–2067
Zijian Wang, Scott Hale, David Ifeoluwa Adelani, Przemyslaw Grabowicz, Timo Hartman, Fabian Flöck, and David Jurgens. 2019 · 2067
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