Overview The last few years have seen a surge in abusive online behavior, with governments, social media platforms, and individuals struggling to cope with the consequences. Online forums, comment sections, and social media interaction in general have become a playground of bullying, scapegoating, and hate speech. These forms of online aggression not only poison the social climate of the communities that experience it, but also lower the inhibition for direct physical violence, and increasingly even result in it.
As a field that directly works with computing over language, Natural Language Processing researchers are in a unique position to develop automated methods to analyze, detect, and filter abusive language. Additionally, we recognize that addressing abusive language is not solely the purview of NLP approaches but is a truly multi-disciplinary problem and thus requires knowledge from other fields, including but not limited to: psychology, sociology, law, gender studies, digital communication, and critical race theory.
In this one day workshop, we aim to provide a space for researchers of various disciplines to meet and discuss approaches to abusive language. The workshop will include invited speakers and panelists from fields outside of NLP, as well as solicit papers from researchers across all areas. In addition, the workshop will host an “unshared task”.
We invite long and short papers on any of the following general topics: - NLP models and methods for abusive language detection - Application of NLP tools to analyze social media content and other large data sets - NLP models for cross-lingual abusive language detection - 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 - Best practices for using NLP techniques in watchdog settings - Development of corpora and annotation guidelines
In order to encourage focused contributions, we direct researchers to consider the following list of data sets an unshared task, where participants can choose from a list of datasets to conduct their experiments. This list includes: Twitter Data Set [Waseem and Hovy, NAACL 2016] German Twitter Data Set [Ross et al. NLP4CMC 2016] Wikipedia Abusive Language Data Set [Wulczyn et al., Preprint available here <https://arxiv.org/abs/1610.08914>]
We will be using the ACL 2017 Submission Guidelines and the START conference system to manage submissions: https://www.softconf.com/acl2017/alw/ <https://www.softconf.com/acl2017/alw/>
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 are also invited to give a demo of their system. 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.
Organizing Committee - Wendy Hui Kyong Chun, Brown University - Dirk Hovy, University of Copenhagen - Joel Tetreault, Grammarly - Zeerak Waseem, University of Copenhagen
Program Committee/Reviewers The following researchers have agreed to serve on the program committee as reviewers.
Swati Agarwal, IIIT Delhi, India Fiona Barnett, Duke University, USA Darina Benikova, University of Duisburg-Essen, LTL, Germany Simone Browne, UT Austin, USA Anneke Buffone, University of Pennsylvania, USA Pete Burnap, Cardiff University, United Kingdom Christina Capodilupo, Teachers College, Columbia University, USA Guillermo Carbonell, University Duisburg-Essen, Germany Pedro Cardoso, Synthesio, France Gabriella Coleman, McGill, Canada Bart Desmet, LT3, Ghent University, Belgium Lucas Dixon, Jigsaw, USA Nemanja Djuric, Uber ATC, USA Jacob Eisenstein, Georgia Institute of Technology, USA Hugo Jair Escalante, INAOE, Mexico Lucie Flekova, UKP Lab, TU Darmstadt, Germany Matthew Fuller, Goldsmith, UK Lee Gillam, University of Surrey, United Kingdom Jen Golbeck, University of Maryland, USA Kevin Hamilton, University of Illinois, USA Christopher Homan, Rochester Institute of Technology, USA Veronique Hoste, Ghent University, Belgium Els Lefever, LT3, Ghent University, Belgium Shuhua Liu, Arcada University of Applied Sciences, Finland Elizabeth Losh, College of William and Mary, USA Shervin Malmasi, Harvard Medical School, USA Fumito Masui, Kitami Institute of Technology, Japan Yashar Mehdad, Airbnb, USA Rada Mihalcea, University of Michigan, USA Mainack Mondal, Max Planck Institute for Software Systems, Germany Manuel Montes-y-Gómez, INAOE, Mexico Kevin Munger, NYU, USA Preslav Nakov, Qatar Computing Research Institute, HBKU, Qatar Courtney Napoles, Johns Hopkins University, USA Chikashi Nobata, Apple, USA Guy De Pauw, CLiPS - University of Antwerp, Belgium Whitney Phillips, Mercer University, USA Karolien Poels, University of Antwerp, Belgium Martin Potthast, Bauhaus-Universität Weimar, Germany Daniel Preotiuc-Pietro, University of Pennsylvania, USA Michal Ptaszynski, Kitami Institute of Technology, Japan Awais Rashid, Lancaster University, United Kingdom Björn Ross, University Duisburg-Essen, Germany Paolo Rosso, Universitat Politecnica de Valencia, Spain Masoud Rouhizadeh, Stony Brook University & University of Pennsylvania, USA Molly Sauter, McGill University, Canada Nishant Shah, Leuphana, ArtEZ University of the Arts, CIS (Bangalore), India Thamar Solorio, University of Houston, USA Jeffrey Sorensen, Jigsaw, USA Achint Thomas, Embibe Indiavidual Inc, India Lyle Ungar, University of Pennsylvania, USA Anna Vartapetiance, University of Surrey, United Kingdom Erik Velldal, University of Oslo, Norway Ingmar Weber, Qatar Computing Research Institute, Qatar Jacque Wernimont, Arizona State University, USA Michael Wojatzki, University of Duisburg-Essen, Germany Lilia Øvrelid, University of Oslo, Norway -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 8889 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20170116/0a6d6781/attachment.txt>