WOAH

Publications

2020

Proceedings of the Fourth Workshop on Online Abuse and Harms, WOAH 2020, Online, November 20, 2020 WOAH (2020)
Hala Al Kuwatly, Maximilian Wich, Georg Groh
Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics. WOAH (2020)
Niloofar Safi Samghabadi, Afsheen Hatami, Mahsa Shafaei, Sudipta Kar, Thamar Solorio
Attending the Emotions to Detect Online Abusive Language. WOAH (2020)
Ishaan Arora, Julia Guo, Sarah Ita Levitan, Susan McGregor, Julia Hirschberg
A Novel Methodology for Developing Automatic Harassment Classifiers for Twitter. WOAH (2020)
Gathika Ratnayaka, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner
Enhancing the Identification of Cyberbullying through Participant Roles. WOAH (2020)
Maximilian Wich, Jan Bauer, Georg Groh
Impact of Politically Biased Data on Hate Speech Classification. WOAH (2020)
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. WOAH (2020)
Michele Banko, Brendon MacKeen, Laurie Ray
A Unified Taxonomy of Harmful Content. WOAH (2020)
Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets. WOAH (2020)
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
Six Attributes of Unhealthy Conversations. WOAH (2020)
Dante Razo, Sandra Kübler
Investigating Sampling Bias in Abusive Language Detection. WOAH (2020)
Jana Kurrek, Haji Mohammad Saleem, Derek Ruths
Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage. WOAH (2020)
Kanika Narang, Chris Brew
Abusive Language Detection using Syntactic Dependency Graphs. WOAH (2020)
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. WOAH (2020)
Maximilian Wich, Hala Al Kuwatly, Georg Groh
Investigating Annotator Bias with a Graph-Based Approach. WOAH (2020)
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. WOAH (2020)
Anna Koufakou, Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti
HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language. WOAH (2020)
Isar Nejadgholi, Svetlana Kiritchenko
On Cross-Dataset Generalization in Automatic Detection of Online Abuse. WOAH (2020)
Vebjørn Isaksen, Björn Gambäck
Using Transfer-based Language Models to Detect Hateful and Offensive Language Online. WOAH (2020)
Nadezhda Zueva, Madina Kabirova, Pavel Kalaidin
Reducing Unintended Identity Bias in Russian Hate Speech Detection. WOAH (2020)
Sam Davidson, Qiusi Sun, Magdalena Wojcieszak
Developing a New Classifier for Automated Identification of Incivility in Social Media. WOAH (2020)
Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen
Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020. WOAH (2020)
Claire Pershan
Moderating Our (Dis)Content: Renewing the Regulatory Approach. WOAH (2020)