Introducing CAD: the Contextual Abuse Dataset
暂无分享,去创建一个
Dong Nguyen | Helen Margetts | Bertie Vidgen | Rebekah Tromble | Patrícia G. C. Rossini | Patricia Rossini | H. Margetts | Bertie Vidgen | Rebekah Tromble | Dong Nguyen
[1] Mari J. Matsuda. Words That Wound: Critical Race Theory, Assaultive Speech, And The First Amendment , 1993 .
[2] Yulia Tsvetkov,et al. A Framework for the Computational Linguistic Analysis of Dehumanization , 2020, Frontiers in Artificial Intelligence.
[3] Emily Ahn,et al. Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts , 2019, EMNLP.
[4] Emily M. Bender,et al. Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science , 2018, TACL.
[5] Hugo Hammer,et al. Detecting Threats of Violence in Online Discussions Using Bigrams of Important Words , 2014, 2014 IEEE Joint Intelligence and Security Informatics Conference.
[6] Michael Wiegand,et al. Detection of Abusive Language: the Problem of Biased Datasets , 2019, NAACL.
[7] Preslav Nakov,et al. Predicting the Type and Target of Offensive Posts in Social Media , 2019, NAACL.
[8] Animesh Mukherjee,et al. Thou shalt not hate: Countering Online Hate Speech , 2018, ICWSM.
[9] T. Postmes,et al. Intergroup distinctiveness and differentiation: a meta-analytic integration. , 2004, Journal of personality and social psychology.
[10] Ona de Gibert,et al. Hate Speech Dataset from a White Supremacy Forum , 2018, ALW.
[11] M. McHugh. Interrater reliability: the kappa statistic , 2012, Biochemia medica.
[12] Prasenjit Majumder,et al. Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages , 2019, FIRE.
[13] Walid Magdy,et al. Abusive Language Detection on Arabic Social Media , 2017, ALW@ACL.
[14] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[15] Jeremy Blackburn,et al. The Pushshift Reddit Dataset , 2020, ICWSM.
[16] Cristina Bosco,et al. An Impossible Dialogue! Nominal Utterances and Populist Rhetoric in an Italian Twitter Corpus of Hate Speech against Immigrants , 2018, LREC.
[17] Kalina Bontcheva,et al. Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines , 2014, LREC.
[18] Helen L. Norton,et al. Intermediaries and Hate Speech: Fostering Digital Citizenship for Our Information Age , 2011 .
[19] Patrícia G. C. Rossini. Toxic for Whom? Examining the Targets of Uncivil and Intolerant Discourse in Online Political Talk , 2018 .
[20] Dirk Hovy,et al. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter , 2016, NAACL.
[21] Thomas Wolf,et al. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter , 2019, ArXiv.
[22] Yejin Choi,et al. The Risk of Racial Bias in Hate Speech Detection , 2019, ACL.
[23] Dirk Hovy,et al. Learning Whom to Trust with MACE , 2013, NAACL.
[24] Thomas Wolf,et al. HuggingFace's Transformers: State-of-the-art Natural Language Processing , 2019, ArXiv.
[25] Ingmar Weber,et al. Understanding Abuse: A Typology of Abusive Language Detection Subtasks , 2017, ALW@ACL.
[26] Lluis Gomez,et al. Exploring Hate Speech Detection in Multimodal Publications , 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
[27] Douwe Kiela,et al. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes , 2020, NeurIPS.
[28] Yejin Choi,et al. Social Bias Frames: Reasoning about Social and Power Implications of Language , 2020, ACL.
[29] Amanda Lenhart,et al. Online Harassment, Digital Abuse, and Cyberstalking in America , 2016 .
[30] Bernard J. Jansen,et al. Online Hate Ratings Vary by Extremes: A Statistical Analysis , 2019, CHIIR.
[31] Paula Fortuna,et al. Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets , 2020, LREC.
[32] Jing Qian,et al. A Benchmark Dataset for Learning to Intervene in Online Hate Speech , 2019, EMNLP.
[33] Susan Benesch,et al. Dangerous speech and dangerous ideology: an integrated model for monitoring and prevention , 2016 .
[34] Noah A. Smith,et al. The Media Frames Corpus: Annotations of Frames Across Issues , 2015, ACL.
[35] Sérgio Nunes,et al. A Survey on Automatic Detection of Hate Speech in Text , 2018, ACM Comput. Surv..
[36] Williamson,et al. SLURS AND STEREOTYPES , 2013 .
[37] Ingmar Weber,et al. Racial Bias in Hate Speech and Abusive Language Detection Datasets , 2019, Proceedings of the Third Workshop on Abusive Language Online.
[38] Preslav Nakov,et al. SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) , 2020, SEMEVAL.
[39] Timothy Baldwin,et al. langid.py: An Off-the-shelf Language Identification Tool , 2012, ACL.
[40] Nick Seaver. The nice thing about context is that everyone has it , 2015 .
[41] Ingmar Weber,et al. Automated Hate Speech Detection and the Problem of Offensive Language , 2017, ICWSM.
[42] Grigorios Tsoumakas,et al. Multi-Label Classification: An Overview , 2007, Int. J. Data Warehous. Min..
[43] J. Nathan Matias,et al. Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus , 2018, PloS one.
[44] Rob Procter,et al. A Study of Cyber Hate on Twitter with Implications for Social Media Governance Strategies , 2019, TTO.
[45] Ritesh Kumar,et al. Benchmarking Aggression Identification in Social Media , 2018, TRAC@COLING 2018.
[46] Lei Gao,et al. Detecting Online Hate Speech Using Context Aware Models , 2017, RANLP.
[47] Ali Farhadi,et al. Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping , 2020, ArXiv.
[48] Lucas Dixon,et al. Ex Machina: Personal Attacks Seen at Scale , 2016, WWW.
[49] Cody Buntain,et al. A Large Labeled Corpus for Online Harassment Research , 2017, WebSci.
[50] David Jurgens,et al. A Just and Comprehensive Strategy for Using NLP to Address Online Abuse , 2019, ACL.
[51] M. Williams,et al. Hatred behind the screens: A report on the rise of online hate speech , 2019 .
[52] Patrícia Rossini,et al. Beyond Incivility: Understanding Patterns of Uncivil and Intolerant Discourse in Online Political Talk , 2020, Communication Research.
[53] Bernard J. Jansen,et al. Online Hate Interpretation Varies by Country, But More by Individual: A Statistical Analysis Using Crowdsourced Ratings , 2018, 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS).
[54] Alice E. Marwick,et al. Online Harassment, Defamation, and Hateful Speech: A Primer of the Legal Landscape , 2014 .
[55] Dit-Yan Yeung,et al. Comparative Evaluation of Label Agnostic Selection Bias in Multilingual Hate Speech Datasets , 2020, EMNLP.
[56] Leon Derczynski,et al. Directions in Abusive Language Training Data: Garbage In, Garbage Out , 2020, ArXiv.
[57] Michael Wiegand,et al. A Survey on Hate Speech Detection using Natural Language Processing , 2017, SocialNLP@EACL.
[58] Gianluca Stringhini,et al. Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior , 2018, ICWSM.
[59] Taha Yasseri,et al. Detecting weak and strong Islamophobic hate speech on social media , 2018, Journal of Information Technology & Politics.
[60] Scott A. Hale,et al. Challenges and frontiers in abusive content detection , 2019, Proceedings of the Third Workshop on Abusive Language Online.
[61] John Pavlopoulos,et al. Toxicity Detection: Does Context Really Matter? , 2020, ACL.
[62] Scott A. Hale,et al. Detecting East Asian Prejudice on Social Media , 2020, ALW.
[63] Paolo Rosso,et al. Automatic Identification and Classification of Misogynistic Language on Twitter , 2018, NLDB.
[64] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.