Abstract is missing.
- Moderating Our (Dis)Content: Renewing the Regulatory ApproachClaire Pershan. [doi]
- Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen. 1-6 [doi]
- A Novel Methodology for Developing Automatic Harassment Classifiers for TwitterIshaan Arora, Julia Guo, Sarah Ita Levitan, Susan McGregor, Julia Hirschberg. 7-15 [doi]
- Using Transfer-based Language Models to Detect Hateful and Offensive Language OnlineVebjørn Isaksen, Björn Gambäck. 16-27 [doi]
- Fine-tuning for multi-domain and multi-label uncivil language detectionKadir Bulut Özler, Kate Kenski, Stephen A. Rains, Yotam Shmargad, Kevin Coe, Steven Bethard. 28-33 [doi]
- HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive LanguageAnna Koufakou, Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti. 34-43 [doi]
- Abusive Language Detection using Syntactic Dependency GraphsKanika Narang, Chris Brew. 44-53 [doi]
- Impact of Politically Biased Data on Hate Speech ClassificationMaximilian Wich, Jan Bauer, Georg Groh. 54-64 [doi]
- Reducing Unintended Identity Bias in Russian Hate Speech DetectionNadezhda Zueva, Madina Kabirova, Pavel Kalaidin. 65-69 [doi]
- Investigating Sampling Bias in Abusive Language DetectionDante Razo, Sandra Kübler. 70-78 [doi]
- Attending the Emotions to Detect Online Abusive LanguageNiloofar Safi Samghabadi, Afsheen Hatami, Mahsa Shafaei, Sudipta Kar, Thamar Solorio. 79-88 [doi]
- Enhancing the Identification of Cyberbullying through Participant RolesGathika Rathnayake, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner. 89-94 [doi]
- Developing a New Classifier for Automated Identification of Incivility in Social MediaSam Davidson, Qiusi Sun, Magdalena Wojcieszak. 95-101 [doi]
- Countering hate on social media: Large scale classification of hate and counter speechJoshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic. 102-112 [doi]
- Six Attributes of Unhealthy ConversationsIlan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen. 114-124 [doi]
- A Unified Taxonomy of Harmful ContentMichele Banko, Brendon MacKeen, Laurie Ray. 125-137 [doi]
- Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur UsageJana Kurrek, Haji Mohammad Saleem, Derek Ruths. 138-149 [doi]
- In Data We Trust: A Critical Analysis of Hate Speech Detection DatasetsKosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue 0001. 150-161 [doi]
- Detecting East Asian Prejudice on Social MediaBertie Vidgen, Scott A. Hale, Ella Guest, Helen Z. Margetts, David A. Broniatowski, Zeerak Waseem, Austin Botelho, Matthew Hall, Rebekah Tromble. 162-172 [doi]
- On Cross-Dataset Generalization in Automatic Detection of Online AbuseIsar Nejadgholi, Svetlana Kiritchenko. 173-183 [doi]
- Identifying and Measuring Annotator Bias Based on Annotators' Demographic CharacteristicsHala Al Kuwatly, Maximilian Wich, Georg Groh. 184-190 [doi]
- Investigating Annotator Bias with a Graph-Based ApproachMaximilian Wich, Hala Al Kuwatly, Georg Groh. 191-199 [doi]