📰 Workshop on Abusive Language Online 2017 — accepted papers

Workshop on Abusive Language Online 2017 is the 2017 edition of the Workshop on Abusive Language Online, held in Vancouver, BC, Canada, August 2017 (publisher: Association for Computational Linguistics). OpenAlex lists 14 papers of it; our library holds 4 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Using Convolutional Neural Networks to Classify Hate-SpeechBjörn Gambäck, Utpal Kumar Sikdar532 citations · our summary
2. Understanding Abuse: A Typology of Abusive Language Detection SubtasksZeerak Waseem, Thomas Davidson, Dana Warmsley et al.474 citations · our summary
3. One-step and Two-step Classification for Abusive Language Detection on TwitterJi Ho Park, Pascale Fung353 citations · our summary
4. Abusive Language Detection on Arabic Social MediaHamdy Mubarak, Kareem Darwish, Walid Magdy295 citations · our summary
5. Deep Learning for User Comment ModerationJohn Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos112 citations
6. Dimensions of Abusive Language on TwitterIsobelle Clarke, Jack Grieve89 citations
7. Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in SloveneDarja Fišer, Tomaž Erjavec, Nikola Ljubešić56 citations
8. Rephrasing Profanity in Chinese TextHui-Po Su, Zhen-Jie Huang, Hao-Tsung Chang et al.56 citations
9. Vectors for Counterspeech on TwitterLucas Wright, Derek Ruths, Kelly P Dillon et al.51 citations
10. Technology Solutions to Combat Online HarassmentGeorge Kennedy, Andrew McCollough, Edward Dixon et al.50 citations

All accepted papers (14)

The most cited first; 4 with our summary link to their page here, the others to the original.

1. Using Convolutional Neural Networks to Classify Hate-SpeechBjörn Gambäck, Utpal Kumar Sikdar532 citations · our summary
2. Understanding Abuse: A Typology of Abusive Language Detection SubtasksZeerak Waseem, Thomas Davidson, Dana Warmsley et al.474 citations · our summary
3. One-step and Two-step Classification for Abusive Language Detection on TwitterJi Ho Park, Pascale Fung353 citations · our summary
4. Abusive Language Detection on Arabic Social MediaHamdy Mubarak, Kareem Darwish, Walid Magdy295 citations · our summary
5. Deep Learning for User Comment ModerationJohn Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos112 citations
6. Dimensions of Abusive Language on TwitterIsobelle Clarke, Jack Grieve89 citations
7. Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in SloveneDarja Fišer, Tomaž Erjavec, Nikola Ljubešić56 citations
8. Rephrasing Profanity in Chinese TextHui-Po Su, Zhen-Jie Huang, Hao-Tsung Chang et al.56 citations
9. Vectors for Counterspeech on TwitterLucas Wright, Derek Ruths, Kelly P Dillon et al.51 citations
10. Technology Solutions to Combat Online HarassmentGeorge Kennedy, Andrew McCollough, Edward Dixon et al.50 citations
11. Constructive Language in News CommentsVarada Kolhatkar, Maite Taboada46 citations
12. Detecting Nastiness in Social MediaNiloofar Safi Samghabadi, Suraj Maharjan, Alan Sprague et al.46 citations
13. Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary WordsJoan Serrà, Ilias Leontiadis, Dimitris Spathis et al.37 citations
14. Illegal is not a Noun: Linguistic Form for Detection of Pejorative NominalizationsAlexis Palmer, Melissa Robinson, Kristy K. Phillips8 citations

📄 Papers with our summary in our library (4)

The most cited first (OpenAlex citations plus our library's).

1. Understanding Abuse: A Typology of Abusive Language Detection SubtasksWorkshop on Abusive Language OnlineZeerak Waseem, Thomas Davidson, Dana Warmsley, et al.2017 · 697 citations
2. Using Convolutional Neural Networks to Classify Hate-SpeechWorkshop on Abusive Language OnlineBjörn Gambäck, Utpal Kumar Sikdar2017 · 651 citations
3. One-step and Two-step Classification for Abusive Language Detection on TwitterWorkshop on Abusive Language OnlineJi Ho Park, Pascale Fung2017 · 436 citations
4. Abusive Language Detection on Arabic Social MediaWorkshop on Abusive Language OnlineHamdy Mubarak, Kareem Darwish, Walid Magdy2017 · 414 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

😊Sentiment & emotion (1)Semitic languages (1)🛡️Bias, fairness & safety (1)

📚 Fields

🖥️Computer Science (4)🤝Social Sciences (2)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Hong Kong University of Science and TechnologyHong Kong · China1 work here🎓Norwegian University of Science and TechnologyTrondheim · Norway1 work here🎓Hamad bin Khalifa UniversityDoha · Qatar1 work here🎓University of EdinburghEdinburgh · United Kingdom1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/workshop-on-abusive-language-online/2017/