COLING 2020 Third Workshop on NLP for Internet Freedom (NLP4IF): Censorship, Disinformation, and Propaganda

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COLING 2020 Third Workshop on NLP for Internet Freedom (NLP4IF): Censorship, Disinformation, and Propaganda

Giovanni Luca Ciampaglia-5
*** Apologies for cross-posting ***

COLING 2020 Third Workshop on NLP for Internet Freedom  (NLP4IF):
Censorship, Disinformation, and Propaganda

First Call for Papers

Workshop website:

Co-located with COLING 2020, Barcelona, Spain

Accepted papers will be published in the COLING 2020 NLP4IF Workshop

 Important Dates

* Submission deadline: September 1, 2020 (23:59 PM Pacific Standard Time)

* Notification of acceptance: October 1, 2020

* Camera-ready papers due: October 20, 2020

* Workshop: December 12, 2020

NLP4IF ( is dedicated to NLP methods that
potentially contribute or hamper  the free flow of information on the
Internet, their impact, and 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 controlled by any forms of

We invite submissions of up to nine (9) pages maximum, plus bibliography
for long papers and four (4) pages, plus bibliography, for short papers.
For full submission guidelines, please refer to the workshop homepage. 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
      countermeasures for Internet censorship such as keyword substitution,
      expanding coverage of existing banned terms, text paraphrasing,
      steganography, generating information morphs etc.;

      Detection of self-censorship;

      Identifying potentially censorable content;

      Techniques to empirically measure Internet censorship across
      communication platforms;

      Investigations on covert linguistic communication and its limits;


      Dis-/Misinformation detection: fake/false/impostor news, fake
      accounts, rumor detection, etc.;


      Identification of propaganda at different granularity levels:  text
      fragment, document, and  full website;

      (Comparative) analysis of the language of propagandistic and biased

      Automatic generation of persuasive 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 media;

      Automatic debiasing of news content;


   Other relevant topics include ( but not limited to)

      Identification of hate speech and offensive language;

      Identity and private information detection;

      Passive and targeted surveillance techniques;

      Ethics in NLP;

      “Walled gardens”, personalization and fragmentation of the online
      public space.

Submission page:

Formatting requirements:

*Giovanni Luca Ciampaglia* ∙
Assistant Professor
Computer Science and Engineering
<> ∙ University
of South Florida <>

*Due to Florida’s broad open records law, email to or from university
employees is public record, available to the public and the media upon
Wiki-research-l mailing list
[hidden email]