Schedule

Thursday, July 13th 2023. Toronto time. All sessions are in PIER 7&8 unless indicated otherwise.

09:00 - 09:15: Opening Remarks

09:15 - 09:45: Dirk Hovy: “Whose Truth Is It Anyway?”

09:45 - 10:15: Vinodkumar Prabhakaran:

10:15 - 11:45: Poster Session in the Frontenac Ballroom

• Identity Construction in a Misogynist Incels Forum
  Michael Yoder, Chloe Perry, David Brown, Kathleen Carley and Meredith Pruden

• DeTexD: A Benchmark Dataset for Delicate Text Detection
  Artem Chernodub, Serhii Yavnyi, Oleksii Sliusarenko, Jade Razzaghi, Yichen Mo and Knar Hovakimyan

• Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech
  Flor Miriam Plaza-del-Arco, Debora Nozza and Dirk Hovy

• Benchmarking Offensive and Abusive Language in Dutch Tweets
  Tommaso Caselli and Hylke Van Der Veen

• Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers
  Isar Nejadgholi, Svetlana Kiritchenko, Kathleen C. Fraser and Esma Balkir

• Conversation Derailment Forecasting with Graph Convolutional Networks
  Enas Altarawneh, Ameeta Agrawal, Michael Jenkin and Manos Papagelis

• Resources for Automated Identification of Online Gender-Based Violence: A Systematic Review
  Gavin Abercrombie, Aiqi Jiang, Poppy Gerrard-abbott, Ioannis Konstas and Verena Rieser

• Disentangling Disagreements on Offensiveness: A Cross-Cultural Study
  Aida Mostafazadeh Davani, Mark Diaz, Dylan Baker and Vinodkumar Prabhakaran

• Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data
  Janis Goldzycher, Moritz Preisig, Chantal Amrhein and Gerold Schneider

• Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media
  Gal Ron, Effi Levi, Odelia Oshri and Shaul Shenhav

• Toward Disambiguating the Definitions of Abusive, Offensive, Toxic, and Uncivil Comments
  Pia Pachinger, Julia Neidhardt, Allan Hanbury and Anna Maria Planitzer

• Harmful Language Datasets: An Assessment of Robustness
  Katerina Korre, John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, Ion Androutsopoulos, Lucas Dixon and Alberto Barrón-cede ̃no

• Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation
  Dimosthenis Antypas and Jose Camacho-Collados

• [Findings] Responsibility Perspective Transfer for Italian Femicide News
  Gosse Minnema, Huiyuan Lai, Benedetta Muscato and Malvina Nissim

• [Findings] Scientific Fact-Checking: A Survey of Resources and Approaches
  Juraj Vladika and Florian Matthes

• [Findings] A New Task and Dataset on Detecting Attacks on Human Rights Defenders
  Shihao Ran, Di Lu, Aoife Cahill, Joel Tetreault and Alejandro Jaimes

• [Findings] ClaimDiff: Comparing and Contrasting Claims on Contentious Issues
  Miyoung Ko, Ingyu Seong, Hwaran Lee, Joonsuk Park, Minsuk Chang and Minjoon Seo

• [Findings] Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree
  Connor T Baumler, Anna Sotnikova and Hal Daumé III

• [Findings] Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo
  Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj B Bhensadadia, Ashiqur KhudaBukhsh and Christopher Homan

• [Findings] Debiasing should be Good and Bad
  Robert A. Morabito, Jad Kabbara and Ali Emami

• [Findings] COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
  Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta and Maarten Sap

• [Findings] Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models
  Eddie L. Ungless, Bjorn Ross and Anne Lauscher

11:45 - 12:15: Maarten Sap: “The Pivotal Role of Social Context in Toxic Language Detection”

12:15 - 13:30: Lunch Break

13:30 - 14:00: Su Lin Blodgett:

14:00 - 14:30: Outstanding Paper Talks

• Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning
  Md Tawkat Islam Khondaker, Muhammad Abdul-mageed and Laks Lakshmanan, V.s.

• Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor
  Svetlana Kiritchenko, Georgina Curto Rex, Isar Nejadgholi and Kathleen C Fraser

14:30 - 15:00: Lightning Talks for remote attendants

• Towards Safer Communities: Detecting Aggression and Offensive Language in Code-Mixed Tweets to Combat Cyberbullying
  Nazia Nafis, Diptesh Kanojia, Naveen Saini and Rudra Murthy

• Towards Weakly-Supervised Hate Speech Classification Across Datasets
  Yiping Jin, Leo Wanner, Vishakha Kadam and Alexander Shvets

• Relationality and Offensive Speech: A Research Agenda
  Razvan Amironesei and Mark Diaz

• Auditing YouTube Content Moderation in Low Resource Language Settings
  Hellina Hailu Nigatu and Inioluwa Raji

• ExtremeBB: A Database for Large-Scale Research into Online Hate, Harassment, the Manosphere and Extremism
  Anh V. Vu, Lydia Wilson, Yi Ting Chua, Ilia Shumailov and Ross Anderson

• HOMO-MEX: A Mexican Spanish Annotated Corpus for LGBT+phobia Detection on Twitter
  Juan Vásquez, Scott Andersen, Gemma Bel-enguix, Helena Gómez-adorno and Sergio-luis Ojeda-trueba

• A Cross-Lingual Study of Homotransphobia on Twitter
  Davide Locatelli, Greta Damo and Debora Nozza

• [Findings] The State of Profanity Obfuscation in Natural Language Processing Scientific Publications
  Debora Nozza and Dirk Hovy

• [Findings] It’s not Sexually Suggestive; It’s Educative | Separating Sex Education from Suggestive Content on TikTok videos
  Enfa Rose George and Mihai Surdeanu

• [Findings] Playing the Part of the Sharp Bully: Generating Adversarial Examples for Implicit Hate Speech Detection
  Nicolas Benjamin Ocampo, Elena Cabrio and Serena Villata

15:00 - 15:30: Lauren Klein: “Historical Data, Real-World Harms”

15:30 - 16:15: Coffee Break

16:15 - 17:15: Panel Discussion on the special theme with all invited speakers

17:15 - 17:25: Closing Remarks

From 17:30: Workshop Drinks, External Location TBA at the workshop