[Corpora-List] 1st CFP: Third Workshop on NLP for Internet Freedom (NLP4IF) 2020

Anna Feldman feldmana at mail.montclair.edu
Sun Dec 1 23:03:55 CET 2019

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

First Call for Papers

Workshop website: http://netsci.montclair.edu/nlp4if/

Workshop Date: September 13, 2020

Co-located with COLING (https://coling2020.org/), Sep 13-18, Barcelona, Spain

Supported by the U.S. National Science Foundation, award No. #1828199

Submission deadline: May 20, 2020 (23:59 PM Pacific Standard Time)

NLP4IF (http://netsci.montclair.edu/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, e.g. censorship, disinformation and propaganda, etc. 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.

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


Censorship detection: detecting deleted or edited text; detecting

blocked keywords/banned terms;


Identification of propaganda at different granularity levels: text

fragment, document, and full website


Disinformation/Misinformation detection: fake news, fake accounts, rumor

detection, etc.;


Automatic detection of coordinated propaganda campaigns such as the use

of social bots, botnets, and water armies


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 censurable content;


Identification of hate speech and offensive language


(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


Analysis of diffusion and consumption of propagandistic, hyperpartisan,

and extremely biased content in social media


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


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

We invite submissions of up to nine (9) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. The COLING’2020 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format.

Formatting requirements: https://coling2020.org/coling2020.zip

Submission page: https://www.softconf.com/coling2020/NLP4IF/

Important Dates

* Submission deadline: May 20, 2020 (23:59 PM Pacific Standard Time)

* Notification of acceptance: June 24, 2020

* Camera-ready papers due: July 11, 2020

* Workshop: September 13, 2020

Workshop organizers:

Giovanni Da San Martino, Qatar Computing Research Institute, HBKU. gmartino[at]hbku.edu.qa

Chris Brew, Facebook. christopher.brew[at]gmail.com

Giovanni Luca Ciampaglia, University of South Florida. glc3[at]mail.usf.edu

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

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

Preslav Nakov, Qatar Computing Research Institute, HBKU. pnakov[at] hbku.edu.qa -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 25290 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20191201/81027444/attachment.txt>

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