2019 Workshop Organizers

  • Alberto Barŕon-Cedeño, University of Bologna. a.barron[at]unibo.it
  • Chris Brew, Facebook. christopher.brew[at]gmail.com

  • Giovanni Da San Martino, Qatar Computing Research Institute. gmartino[at]qf.org.qa

  • Anna Feldman, Montclair State University. feldmana[at]montclair.edu

  • Chris Leberknight, Montclair State University. leberknightc[at]montclair.edu

  • Preslav Nakov, Qatar Computing Research Institute. pnakov[at]qf.org.qa

NLP4IF 2019 Workshop

NLP4IF is dedicated to NLP methods that potentially contribute (either positively or negatively) to the free flow of information on the Internet, or to our understanding of the issues that arise in this area. We hope that our workshop will have a transformative impact on society by getting closer to achieving Internet freedom in countries where accessing and sharing of information are strictly controlled by censorship.

NLP4IF will feature a shared task on propaganda detection in news. Participants of the shared task will be invited to present their approaches at the workshop. More information on the task website (https://propaganda.qcri.org/nlp4if-shared-task/) and in a follow up email.

The workshop is supported by the U.S. National Science Foundation, award No. #1828199

The topics of interest include (but are not limited) to the following:

  • Censorship detection: detecting deleted or edited text; detecting blocked keywords/banned terms;
  • Censorship circumvention techniques: linguistically inspired countermeasure for Internet censorship such as keyword substitution, expanding coverage of existing banned terms, text paraphrasing, linguistic steganography, generating information morphs etc.;
  • Detection of self-censorship;
  • Identifying potentially censorable content;
  • Disinformation/Misinformation detection: fake news, fake accounts, rumor detection, etc.;
  • Identification of propaganda at document and fragment level
  • Identification of hate speech
  • (Comparative) analysis of the language of propagandistic and biased texts
  • Automatic generation of persuasive content
  • Automatic debiasing of news content
  • Tools to facilitate the flagging, either automatic or manual, of propaganda and bias in social media
  • Automatic detection of coordinated propaganda campaigns such as the use of social bots, botnets, and water armies
  • Analysis of diffusion and consumption of propagandistic, hyperpartisan, and extremely biased content in social networks
  • Techniques to empirically measure Internet censorship across communication platforms;
  • Investigations on covert linguistic communication and its limits;
  • Identity and private information detection;
  • Passive and targeted surveillance techniques;
  • Ethics in NLP;
  • “Walled gardens”, personalization and fragmentation of the online public space;
  • We hope that our workshop will have a transformative impact on society by getting closer to achieving Internet freedom in countries where accessing and sharing of information are strictly controlled by censorship.

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    Schedule Detail

    • 09:00-09:10

      Opening Remarks Slides

    • event speaker

      09:10-09:30

      Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics Slides

    • event speaker

      09:30-09:50

      Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential Slides

    • event speaker

      09:50-10:10

      Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues TBD

    • 10:10-10:30

      Identifying Perspectives in Online News using Weakly Supervised Generative Models Slides

    • event speaker

      10:30-11:00

      Coffee Break

    • event speaker

      11:00-11:20

      Generating Sentential Arguments from Diverse Perspectives on Controversial Topic Slides

    • event speaker

      11:20-11:40

      Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Slides

    • event speaker

      11:40-12:00

      Findings of the NLP4IF-2019 Shared Task On Fine-grained Propaganda Detection Slides

    • event speaker

      12:00-12:20

      Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning Slides

    • event speaker

      12:20-12:40

      Fine-Grained Propaganda Detection with Fine-Tuned BERT Slides

    • event speaker

      12:40-14:00

      Lunch Break

    • event speaker

      14:00-15:00

      Invited Talk: Elissa Redmiles (Princeton University/Microsoft) Title: TBA Slides

    • event speaker

      15:00-15:30

      Coffee Break

    • event speaker

      15:30-17:00

      Poster Presentations

    Invited Talk - Elissa Redmiles

    Biography

    Elissa Redmiles is an Assistant Professor of Computer Science at Princeton University and a Visiting Researcher at Microsoft Research. Elissa’s research interests are broadly in the areas of security and privacy. She uses computational, economic, and social science methods to understand users’ security and privacy decision-making processes, specifically investigating inequalities that arise in these processes and mitigating those inequalities through the design of systems that facilitate safety equitably across users. Elissa received her Ph.D. in Computer Science from the University of Maryland in 2019, during which she was a visiting researcher at the Max Planck Institute for Software Systems and the University of Zurich. As a graduate student, she was the recipient of the NSF Graduate Research Fellowship, a Facebook Fellowship, and the National Defense Science and Engineering Graduate Fellowship (NDSEG). Her work has appeared in popular press publications such as Scientific American, Business Insider, Newsweek, and CNET and has been recognized with a Distinguished Paper Award at USENIX Security 2018 and the John Karat Usable Privacy and Security Research Award.

    VENUE

    Asia World Expo

    Airport Expo Blvd, Chek Lap Kok, Hong Kong

    The NLP4IF Workshop is held in conjunction Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing 2019 that will take place in Hong Kong. EMNLP-IJCNLP 2019 will be held at the Asia World Expo from November 3rd through the 7th 2019

    Important Dates

    First call for papers: May 10, 2019

    Second call for papers: Jun 14, 2019

    Submission deadline: August 19, 2019 (23:59 PM Pacific Standard Time)

    Notification of acceptance: September 16, 2019

    Camera-ready papers due: September 30, 2019 (+2w after notification)

    Workshop: November 4, 2019

    Program

    According to the recent report produced by Freedom House (freedomhouse.org), an “independent watchdog organization dedicated to the expansion of freedom and democracy around the world”, Internet freedom declined in 2016 for the sixth consecutive year. 67% of all Internet users live in countries where criticism of the government, military, or ruling family are subject to censorship. Social media users face unprecedented penalties, as authorities in 38 countries made arrests based on social media posts over the past year. Globally, 27 percent of all internet users live in countries where people have been arrested for publishing, sharing, or merely “liking” content on Facebook. Governments are increasingly going after messaging apps like WhatsApp and Telegram, which can spread information quickly and securely. Various barriers exist to prevent citizens of a large number of countries to access information. Some involve infrastructural and economic barriers, others violations of user rights such as surveillance, privacy and repercussions for online speech and activities such as imprisonment, extralegal harassment or cyberattacks. Yet another area is limits on content, which involves legal regulations on content, technical filtering and blocking websites, (self-)censorship. Large internet providers are effective monopolies, and themselves have the power to use NLP techniques to control information flow. Users are suspended or banned, sometimes without human intervention, and with little opportunity for redress. Users react to this by using coded, oblique or metaphorical language, by taking steps to conceal their identity such as the use of multiple accounts, raising questions about who the real originating author of a post actually is. This workshop should bring together NLP researchers whose work contributes to the free flow of information on the Internet.
    Submissions should be written in English and anonymized with regard to the authors and/or their institution (no author-identifying information on the title page nor anywhere in the paper), including referencing style as usual. Authors should also ensure that identifying meta-information is removed from files submitted for review.

    Multiple submission policy: papers that are under review in another EMNLP-IJCNLP workshop at the time of submission will not be considered.

    Submission page: Multiple submission policy: papers that are under review in another EMNLP-IJCNLP workshop at the time of submission will not be considered.

    Submission page: https://www.softconf.com/emnlp2019/ws-NLP4IF

    Formatting requirements: https://www.emnlp-ijcnlp2019.org/calls/papers#formatting-requirements

  • Alberto Barŕon-Cedeño, University of Bologna. a.barron[at]unibo.it
  • Chris Brew, Facebook. christopher.brew[at]gmail.com
  • Giovanni Da San Martino, Qatar Computing Research Institute. gmartino[at]qf.org.qa
  • Anna Feldman, Montclair State University. feldmana[at]montclair.edu
  • Chris Leberknight, Montclair State University. leberknightc[at]montclair.edu
  • Preslav Nakov, Qatar Computing Researach Institute. pnakov[at]qf.org.qa
  • Banu Akdenizli, Northwestern University (Qatar)
  • Dyaa Albakour, Signal Media (UK)
  • Jisun An, Qatar Computing Research Institute (Qatar)
  • Jed Crandall, University of New Mexico, NM (USA)
  • Kareem Darwish, Qatar Computing Research Institute (Qatar)
  • Anjalie Field, Carnegie Mellon University, PA (USA)
  • Gianmarco M. De Francisci, ISI Foundation (Italy)
  • Julio Gonzalo, UNED (Spain)
  • Heng Ji, Rensselaer Polytechnic Institute, NY (USA)
  • Jeffrey Knockell, The Citizen Lab, University of Toronto (Canada)
  • Haewoon Kwak, Qatar Computing Research Institute (Qatar)
  • Miguel Martinez, Signal Media, (UK)
  • Ivan Meza, National Autonomous University of Mexico (Mexico)
  • Rada Mihalcea, University Michigan, MI (USA)
  • Prateek Mittal, Princeton University, NJ (USA)
  • Alessandro Moschitti, Amazon (USA)
  • Veronica Perez, University of Michigan, MI (USA)
  • Hannah Rashkin, University of Washington (USA)
  • Paolo Rosso, Technical University of Valencia (Spain)
  • Anna Rumshisky, University of Massachusetts, Lowell, MI (USA)
  • Mahmood Sharif, Carnegie Mellon University, PA (USA)
  • Thamar Solorio, University of Houston (USA)
  • Benno Stein, Bauhaus University Weimar (Germany)
  • Denis Stukal, New York University (USA)
  • Yulia Tsvetkov, Carnegie Mellon University, PA (USA)
  • Svetlana Volkova, Pacific Northwest National Laboratory
  • Henning Wachsmuth, University of Padderborn (Germany)
  • Brook Wu, New Jersey Institute of Technology, NJ (USA)
  • Mailing list for the workshop(https://groups.google.com/forum/#!forum/nlp4if)