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Toxic language, such as hate speech, can deter users from participating in online communities and enjoying popular platforms.
Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2019 · 1910
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Detecting hate speech on the world wide web
William Warner and Julia Hirschberg. 2012 · 2012
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Analyzing the targets of hate in online social media
Leandro Silva, Mainack Mondal, Denzil Correa, Fabrício Benevenuto, and Ingmar Weber. 2016 · 2016
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Hateful symbols or hateful people? predictive features for hate speech detection on Twitter
Zeerak Waseem and Dirk Hovy. 2016 · 2016
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Norm violation in online communities–a study of stack overflow comments
Jithin Cheriyan, Bastin Tony Roy Savarimuthu, and Stephen Cranefield. 2017 · 2017
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Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
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Surfacing contextual hate speech words within social media
Jherez Taylor, Melvyn Peignon, and Yi-Shin Chen. 2017 · 2017
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The internet’s hidden rules: An empirical study of reddit norm violations at micro, meso, and macro scales
Eshwar Chandrasekharan, Mattia Samory, Shagun Jhaver, Hunter Charvat, Amy Bruckman, Cliff Lampe, Jacob Eisenstein, and Eric Gilbert. 2018 · 2018
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Reddit rules! characterizing an ecosystem of governance
Casey Fiesler, Joshua McCann, Kyle Frye, Jed R Brubaker, et al. 2018 · 2018
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Large scale crowdsourcing and characterization of twitter abusive behavior
Antigoni Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, and Nicolas Kourtellis. 2018 · 2018
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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 · 2018
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Community interaction and conflict on the web
Srijan Kumar, William L Hamilton, Jure Leskovec, and Dan Jurafsky. 2018 · 2018
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SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in Twitter
Valerio Basile, Cristina Bosco, Elisabetta Fersini, Debora Nozza, Viviana Patti, Francisco Manuel Rangel Pardo, Paolo Rosso, and Manuela Sanguinetti. 2019 · 2019
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Finding microaggressions in the wild: A case for locating elusive phenomena in social media posts
Luke Breitfeller, Emily Ahn, David Jurgens, and Yulia Tsvetkov. 2019 · 2019
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Extracting inter-community conflicts in reddit
Srayan Datta and Eytan Adar. 2019 · 2019
Cited alongside, same era.
A just and comprehensive strategy for using NLP to address online abuse
David Jurgens, Libby Hemphill, and Eshwar Chandrasekharan. 2019 · 2019
Cited alongside, same era.
Multilingual and multi-aspect hate speech analysis
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. 2019 · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Cited alongside, same era.
Do neural dialog systems use the conversation history effectively? an empirical study
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, and Yoshua Bengio. 2019 · 2019
Cited alongside, same era.
Technical features of asynchronous and synchronous community platforms and their effects on community cohesion: A comparative study of forum-based and chat-based online mental health communities
Han Li, Robert E Kraut, and Haiyi Zhu. 2021 · 2021
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Hatexplain: A benchmark dataset for explainable hate speech detection
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, and Animesh Mukherjee. 2021 · 2021
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Stefano Menini, Alessio Palmero Aprosio, and Sara Tonelli. 2021 · 2021
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Detecting community sensitive norm violations in online conversations
Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, and Yulia Tsvetkov. 2021 · 2021
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Context sensitivity estimation in toxicity detection
Alexandros Xenos, John Pavlopoulos, and Ion Androutsopoulos. 2021 · 2021
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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
Cited alongside, same era.
Fortifying toxic speech detectors against veiled toxicity
Xiaochuang Han and Yulia Tsvetkov. 2020 · 2020
Cited alongside, same era.
Contextualizing hate speech classifiers with post-hoc explanation
Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, and Xiang Ren. 2020 · 2020
Cited alongside, same era.
Toxicity detection: Does context really matter?
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, and Ion Androutsopoulos. 2020 · 2020
Cited alongside, same era.
Social bias frames: Reasoning about social and power implications of language
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Latent hatred: A benchmark for understanding implicit hate speech
Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, and Diyi Yang. 2021 · 2021
Cited alongside, same era.
Abusive language detection in heterogeneous contexts: Dataset collection and the role of supervised attention
Hongyu Gong, Alberto Valido, Katherine M Ingram, Giulia Fanti, Suma Bhat, and Dorothy L Espelage. 2021 · 2021
Cited alongside, same era.
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Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
Aida Mostafazadeh Davani, Mark Díaz, and Vinodkumar Prabhakaran. 2022 · 2022
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ToxiGen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar. 2022 · 2022
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Xmd: An end-to-end framework for interactive explanation-based debugging of nlp models
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, et al. 2022 · 2022
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A new generation of perspective api: Efficient multilingual character-level transformers
Alyssa Lees, Vinh Q Tran, Yi Tay, Jeffrey Sorensen, Jai Gupta, Donald Metzler, and Lucy Vasserman. 2022 · 2022
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A holistic approach to undesired content detection in the real world
Todor Markov, Chong Zhang, Sandhini Agarwal, Tyna Eloundou, Teddy Lee, Steven Adler, Angela Jiang, and Lilian Weng. 2022 · 2022
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“did you miss my comment or what?” understanding toxicity in open source discussions
Courtney Miller, Sophie Cohen, Daniel Klug, Bogdan Vasilescu, and Christian Kästner. 2022 · 2022
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Beyond incivility: Understanding patterns of uncivil and intolerant discourse in online political talk
Patricia Rossini. 2022 · 2022
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Annotators with attitudes: How annotator beliefs and identities bias toxic language detection
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, and Noah A. Smith. 2022 · 2022
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Explaining toxic text via knowledge enhanced text generation
Rohit Sridhar and Diyi Yang. 2022 · 2022
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