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ORCID4th WOAH 2020: Online
- Seyi Akiwowo, Bertie Vidgen, Vinodkumar Prabhakaran, Zeerak Waseem:
Proceedings of the Fourth Workshop on Online Abuse and Harms, WOAH 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-79-8 - Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen:
Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020. 1-6 - Ishaan Arora, Julia Guo
, Sarah Ita Levitan, Susan McGregor, Julia Hirschberg:
A Novel Methodology for Developing Automatic Harassment Classifiers for Twitter. 7-15 - Vebjørn Isaksen, Björn Gambäck:
Using Transfer-based Language Models to Detect Hateful and Offensive Language Online. 16-27 - Kadir Bulut Özler, Kate Kenski, Stephen A. Rains, Yotam Shmargad, Kevin Coe, Steven Bethard:
Fine-tuning for multi-domain and multi-label uncivil language detection. 28-33 - Anna Koufakou, Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti:
HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language. 34-43 - Kanika Narang, Chris Brew:
Abusive Language Detection using Syntactic Dependency Graphs. 44-53 - Maximilian Wich, Jan Bauer, Georg Groh:
Impact of Politically Biased Data on Hate Speech Classification. 54-64 - Nadezhda Zueva, Madina Kabirova, Pavel Kalaidin:
Reducing Unintended Identity Bias in Russian Hate Speech Detection. 65-69 - Dante Razo, Sandra Kübler:
Investigating Sampling Bias in Abusive Language Detection. 70-78 - Niloofar Safi Samghabadi, Afsheen Hatami, Mahsa Shafaei, Sudipta Kar, Thamar Solorio:
Attending the Emotions to Detect Online Abusive Language. 79-88 - Gathika Ratnayaka, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner:
Enhancing the Identification of Cyberbullying through Participant Roles. 89-94 - Sam Davidson, Qiusi Sun, Magdalena Wojcieszak:
Developing a New Classifier for Automated Identification of Incivility in Social Media. 95-101 - Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic:
Countering hate on social media: Large scale classification of hate and counter speech. 102-112 - Claire Pershan:
Moderating Our (Dis)Content: Renewing the Regulatory Approach. - Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen:
Six Attributes of Unhealthy Conversations. 114-124 - Michele Banko, Brendon MacKeen, Laurie Ray:
A Unified Taxonomy of Harmful Content. 125-137 - Jana Kurrek, Haji Mohammad Saleem, Derek Ruths:
Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage. 138-149 - Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets. 150-161 - Bertie Vidgen, Scott A. Hale, Ella Guest, Helen Z. Margetts, David A. Broniatowski, Zeerak Waseem, Austin Botelho, Matthew Hall, Rebekah Tromble:
Detecting East Asian Prejudice on Social Media. 162-172 - Isar Nejadgholi, Svetlana Kiritchenko:
On Cross-Dataset Generalization in Automatic Detection of Online Abuse. 173-183 - Hala Al Kuwatly, Maximilian Wich, Georg Groh:
Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics. 184-190 - Maximilian Wich, Hala Al Kuwatly, Georg Groh:
Investigating Annotator Bias with a Graph-Based Approach. 191-199
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