Accepted Papers

We are pleased to present the following accepted papers:


  1. Subversive Toxicity Detection using Sentiment Information. Eloi Brassard-Gourdeau and Richard Khoury (PDF)
  2. Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification. Fan Yang, Xiaochang Peng, Gargi Ghosh, Reshef Shilon, Hao Ma, Eider Moore and Goran Predovic (PDF)
  3. Detecting harassment in real-time as conversations develop. Wessel Stoop, Florian Kunneman, Antal van den Bosch and Ben Miller (PDF)
  4. Racial Bias in Hate Speech and Abusive Language Detection Datasets. Thomas Davidson, Debasmita Bhattacharya and Ingmar Weber (PDF)
  5. Automated Identification of Verbally Abusive Behaviors in Online Discussions. Srecko Joksimovic, Ryan S. Baker, Jaclyn Ocumpaugh, Juan Miguel L. Andres, Ivan Tot, Elle Yuan Wang and Shane Dawson (PDF)
  6. Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter. Muhammad Okky Ibrohim and Indra Budi (PDF)
  7. The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit's Quarantine Policy. Qinlan Shen and Carolyn Rose (PDF)
  8. “Condescending, Rude, Assholes”: Framing gender and hostility on Stack Overflow. Sian Brooke (PDF)
  9. Pay "Attention'' to your Context when Classifying Abusive Language. Tuhin Chakrabarty, Kilol Gupta and Smaranda Muresan (PDF)
  10. Challenges and frontiers in abusive content detection. Bertie Vidgen, Alex Harris, Dong Nguyen, Rebekah Tromble, Scott Hale and Helen Margetts (PDF)
  11. A Hierarchically-Labeled Portuguese Hate Speech Dataset. Paula Fortuna, João Rocha da Silva, Juan Soler-Company, Leo Wanner and Sérgio Nunes (PDF)
  12. A System to Monitor Cyberbullying based on Message Classification and Social Network Analysis. Stefano Menini, Giovanni Moretti, Michele Corazza, Elena Cabrio, Sara Tonelli and Serena Villata (PDF)
  13. L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language. Hala Mulki, Hatem Haddad, Chedi Bechikh Ali and Halima Alshabani (PDF)
  14. At the Lower End of Language—Exploring the Vulgar and Obscene Side of German. Elisabeth Eder, Ulrike Krieg-Holz and Udo Hahn (PDF)
  15. Online aggression from a sociological perspective: An integrative view on determinants and possible countermeasures. Sebastian Weingartner and Lea Stahel (PDF)
  16. Preemptive Toxic Language Detection in Wikipedia Comments Using Thread-Level Context. Mladen Karan and Jan Šnajder (PDF)
  17. Neural Word Decomposition Models for Abusive Language Detection. Sravan Bodapati, Spandana Gella, Kasturi Bhattacharjee and Yaser Al-Onaizan (PDF)
  18. A Platform Agnostic Dual-Strand Hate Speech Detector. Johannes Skjeggestad Meyer and Björn Gambäck (PDF)
  19. Detecting Aggression and Toxicity using a Multi Dimension Capsule Network. Saurabh Srivastava and Prerna Khurana (PDF)
  20. An Impossible Dialogue! Nominal Utterances and Populist Rhetoric in an Italian Twitter Corpus of Hate Speech against Immigrants. Gloria Comandini and Viviana Patti (PDF)