HASTAC friends and colleagues – I am a member of the organizing committee for this workshop and I am particularly keen to have humanists, social scientists, and artists engaged too. If you have questions about format or any thing else related to the CfP, please feel free to contact me directly. I hope to see some of you in Brussels for this timely (feels sadly evergreen) event!
ALW2: 2nd Workshop on Abusive Language Online
EMNLP 2018 (Brussels, Belgium), October 31st or November 1st, 2018
Submission deadline: July 20th, 2018
Website: https://sites.google.com/view/alw2018
Submission link: https://www.softconf.com/emnlp2018/ALW2/
Overview
Interaction amongst users on social networking platforms can enable constructive and insightful conversations and civic participation; however, on many sites that encourage user interaction, verbal abuse has become commonplace, leading to negative outcomes such as cyberbullying, hate speech, and scapegoating. In online contexts, aggressive behavior may be more frequent than in face-to-face interaction, which can poison the social climates within online communities. The last few years have seen a surge in such abusive online behavior, leaving governments, social media platforms, and individuals struggling to deal with the consequences.
For instance, in 2015, Twitter’s CEO publicly admitted that online abuse on their platform was resulting in users leaving the platform, and in some cases even having to leave their homes. More recently, Facebook, Twitter, YouTube and Microsoft pledged to remove hate speech from their platforms within 24 hours in accordance with the EU commission code of conduct and face fines of up to €50M in Germany if they systematically fail to remove abusive content within 24 hours. While governance demands the ability to respond quickly and at scale, we do not yet have effective human or technical processes that can address this need. Abusive language can often be extremely subtle and highly context dependent. Thus we are challenged to develop scalable computational methods that can reliably and efficiently detect and mitigate the use of abusive language online within variable and evolving contexts.
As a field that works directly with computational analysis of language, NLP (Natural Language Processing) is in a unique position to address this problem. Recently there have been a greater number of papers dealing with abusive language in the computational linguistics community. Abusive language is not a stable or simple target: misclassification of regular conversation as abusive can severely impact users’ freedom of expression and reputation, while misclassification of abusive conversations as unproblematic on the other hand maintains the status quo of online communities as unsafe environments. Clearly, there is still a great deal of work to be done in this area. More practically, as research into detecting abusive language is still in its infancy, the research community has yet to agree upon a suitable typology of abusive content as well as upon standards and metrics for proper evaluation, where research in media studies, rhetorical analysis, and cultural analysis can offer many insights.
In this second edition of this workshop, we continue to emphasize the computational detection of abusive language as informed by interdisciplinary scholarship and community experience. We invite paper submissions describing unpublished work from relevant fields including, but not limited to: natural language processing, law, psychology, network analysis, gender and women’s studies, and critical race theory.
Paper Topics
We invite long and short papers on any of the following general topics:
related to developing computational models and systems:
NLP models and methods for detecting abusive language online, including, but not limited to hate speech, cyberbullying etc.
Application of NLP tools to analyze social media content and other large data sets
NLP models for cross-lingual abusive language detection
Computational models for multi-modal abuse detection
Development of corpora and annotation guidelines
Critical algorithm studies with a focus on abusive language moderation technology
Human-Computer Interaction for abusive language detection systems
Best practices for using NLP techniques in watchdog settings
or related to legal, social, and policy considerations of abusive language online:
The social and personal consequences of being the target of abusive language and targeting others with abusive language
Assessment of current non-NLP methods of addressing abusive language
Legal ramifications of measures taken against abusive language use
Social implications of monitoring and moderating unacceptable content
Considerations of implemented and proposed policies for dealing with abusive language online and the technological means of dealing with it.
In addition, in this one-day workshop, we will have a multidisciplinary panel discussion and a forum for plenary discussion on the issues that researchers and practitioners face in efforts to work with abusive language detection. We are also looking into the possibility of publishing a special issue journal to this iteration of the workshop.
We seek to have a greater focus on policy aspects of online abuse through invited speakers and panels.
Submission Information
We will be using the EMNLP 2018 Submission Guidelines. Authors are invited to submit a full paper of up to 8 pages of content with up to 2 additional pages for references. We also invite short papers of up to 4 pages of content, including 2 additional pages for references.
Accepted papers will be given an additional page of content to address reviewer comments. We also invite papers which describe systems. If you would like to present a demo in addition to presenting the paper, please make sure to select either “full paper + demo” or “short paper + demo” under “Submission Category” in the START submission page.
Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”.
We have also included conflict of interest in the submission form. You should mark all potential reviewers who have been authors on the paper, are from the same research group or institution, or who have seen versions of this paper or discussed it with you.
We will be using the START conference system to manage submissions.
Important Dates
Submission due: July 20, 2018
Author Notification: August 18, 2018
Camera Ready: August 31, 2018
Workshop Date: Oct 31st or Nov 1st, 2018
Submission link: https://www.softconf.com/emnlp2018/ALW2/
Unshared task
In order to encourage focused contributions, we encourage researchers to consider using one or more of the following datasets in their experiments:
StackOverflow Offensive Comments [To be released]
Yahoo News Dataset of User Comments [Nobata et al., WWW 2016]
Twitter Data Set [Waseem and Hovy, NAACL 2016]
German Twitter Data Set [Ross et al. NLP4CMC 2016]
Greek News Data Set [Pavlopoulos et al., EMNLP 2017]
Wikimedia Toxicity Data Set [Wulczyn et al., WWW 2017]
SFU Opinion and Comment Corpus [Kolhatkar et al., In Review]
Organizing Committee
Darja Fišer, University of Ljubljana & the Jožef Stefan Institute
Ruihong Huang, Texas A&M University
Vinodkumar Prabhakaran, Stanford University
Rob Voigt, Stanford University
Zeerak Waseem, University of Sheffield
Jacqueline Wernimont, Arizona State University
Program Committee/Reviewers
The following researchers have agreed to serve on the program committee as reviewers.
Mark Alfano, Delft University of Technology, Netherlands
Natalie Alkiaviadou, UCLAN, Cyprus, Cyprus
Ion Androutsopoulos, Department of Informatics, Athens University of Economics and Business, Greece
Veronika Bajt, Peace Institute, Slovenia
Alistar Baron, Lancaster University, United Kingdom
Susan Benesch, Berkman Klein Center, United States of America
Darina Benikova, University of Duisburg-Essen, Germany
Joachim Bingel, University of Copenhagen, Denmark
Kalina Bontcheva, University of Sheffield, United Kingdom
Pete Burnap, Cardiff University, United Kingdom
Guillermo Carbonell, University Duisburg-Essen, Germany
Wendy Chun, Brown University, United States of America
Isobelle Clarke, Birmingham University, United Kingdom
Kelly Dennis, University of Connecticut, United States of America
Guy De Pauw, Textgain, Belgium
Mona Diab, George Washington University, United States of America
Lucas Dixon, Jigsaw (Google), United States of America
Nemanja Djuric, Uber, United States of America
Marisa Duarte, Arizona State University, United States of America
Hugo Jair Escalante, National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico
Björn Gambäck, Norwegian University of Science and Technology, Norway
Lee Gillam, University of Surrey, United Kingdom
Tassie Gnady, University of Illinois, United States of America
Jen Golbeck, University of Maryland, United States of America
Vojko Gorjanc, University of Ljubljana, Slovenia
Erica Greene, Jigsaw, United States of America
Joris Van Hoboken, Vrije Universiteit Brussels, Belgium
Veronique Hoste, University of Ghent, Belgium
Dirk Hovy, Bocconi University, Italy
Dan Jurafsky, Stanford, United States of America
George Kennedy, Intel, United States of America
Neža Kogovšek Šalomon, Peace Institute, Slovenia
Varada Kolhatkar, University of Toronto, Canada
Els Lefever, University of Ghent, Belgium
Chuan-Jie Lin, National Taiwan Ocean University, Taiwan
Elizabeth Losh, William and Mary, United States of America
Prodromos Malakasiotis, StrainTek, Greece
Shervin Malmasi, Harvard University, United States of America
Diana Maynard, University of Sheffield, United Kingdom
Kathleen McKoewn, Columbia University, United States of America
Rada Mihalcea, University of Michigan, United States of America
Mainack Mondal, Max Planck Institute for Software Systems, Germany
Hamdy Mubarak, Qatar Computing Research Institute, Qatar
Smruthi Mukund, A9.com Inc, United States of America
Kevin Munger, New York University, United States of America
Andreas Musolff, University of East Anglia, United Kingdom
Preslav Nakov, Qatar Computing Research Institute, Qatar
Anne Brigitta Nilsen, Oslo and Akershus University College of Applied Sciences, Norway
Chikashi Nobata, Apple, United States of America
John Pavlopoulos, StrainTek, Greece
Daniel Preoțiuc-Pietro, Bloomberg, United States of America
Michal Ptaszynski, University of Duisburg-Essen, Germany
Srividya Ramasubramanian, Texas A&M University, United States of America
Georg Rehm, Deutsche Forschungszentrum für Künstliche Intelligenz, Germany
Björn Ross, University of Duisburg-Essen, Germany
Masoud Rouhizadeh, Stony Brook University & University of Pennsylvania, United States of America
Niloofar Safi Samghabadi, University of Houston, United States of America
Christina Sauper, Facebook, United States of America
Xanda Schofield, Cornell, United States of America
Caroline Sinders, Wikimedia Foundation, United States of America
Dimitris Spathis, StrainTek, Greece
Mark Stevenson, University of Sheffield, United Kingdom
Maite Taboada, Simon Fraser University, Canada
Dennis Yi Tenen, Columbia University, United States of America
Ingmar Weber, Qatar Computing Research Institute, Qatar
Amanda Williams, University of Bristol, United Kingdom
Michael Wojatzki, University of Duisburg-Essen, Germany
Lilja Øvrelid, University of Oslo, Norway
Related Events
Workshop: The turn to artificial intelligence in governing communication online
First Workshop on Trolling, Aggression and Cyberbullying
The 1st Workshop on Abusive Language Online: the first edition of the workshop.
CHI Workshop on Online Harassment: a workshop focused on developing datasets for researching online harassment
Text Analytics for Cyber Security and Online Safety, LREC 2016
Discourses of Aggression and Violence in Greek Digital Communication, ICGL13
Conceptualizing, Creating, & Controlling Constructive and Controversial Comments: A CSCW Research-athon
Image credit: https://www.sott.net/image/s19/380111/full/438753_how_to_be_a_jerk_in_in…
