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From:
Beatrice Rapisarda <[log in to unmask]>
Reply To:
Beatrice Rapisarda <[log in to unmask]>
Date:
Tue, 23 May 2017 11:02:00 +0200
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CALL FOR PAPERS 

IEEE DSAA’17

Special Session: 

DATA SCIENCE IN SOCIETAL DEBATES -- DSSD 2017

TOKYO, JAPAN, OCTOBER 19-21, 2017

http://www.sobigdata.eu/data-science-societal-debates-dssd-2017

=====================================================================

SUBMISSION DEADLINE (EXTENDED):    JUNE 8, 2017 

=====================================================================

AIMS AND SCOPE

Nowadays, social media platforms, online blogs, and discussion forums
are a crucial component in the public sphere, fostering discussions and
influencing the public perception for a myriads of social issues such as
POLITICS, SECURITY, CLIMATE, HEALTH, ECONOMICS, MIGRATION, to name but a
few. On the one hand, this represents an unprecedented opportunity to
discuss and propose new ideas, giving VOICE TO THE CROWDS. On the other
hand however, new socio-technical issues arise, which are related to the
discussion of such controversial topics. Among the most pressing issues
in ONLINE SOCIETAL DEBATES, is the formation of so-called "ECHO
CHAMBERS", i.e., situations where POLARIZED LIKE-MINDED people reinforce
each other's opinion, but do not get exposed to the views of the
opposing side. Echo chambers have a negative effect on society since
POLARIZED COMMUNITIES TEND TO GET ISOLATED and only marginally exposed
to unbiased information. As a result, people belonging to echo chambers
are more likely to incur in EXTREMIZATION AND HATE. Unfortunately,
misinformation is present also outside of echo chambers. Indeed, RUMOR
SPREADING, FAKE NEWS, and HOAXES are another major issue of all
controversial social discussions, where people try to influence the
opposing side with questionable means. Misinformation and political
campaigns are sometimes also carried out by groups of automated accounts
that pollute and tamper the social environment by injecting a large
number of targeted messages.

This special session focuses on DATA SCIENCE APPROACHES to study, model,
characterize, and propose solutions to these, and other similar,
challenges related to all aspects of POLARIZED, POLITICAL, AND
CONTROVERSIAL SOCIETAL DEBATES.

=====================================================================

TOPICS OF INTEREST

Areas of interest to DSSD 2017 include, but are not limited to:

Methods and Techniques: 

 	* Modeling of online societal debates;
 	* Modeling influence and influencers in societal debates;
 	* Monitoring discussion topics across time and space;
 	* Text analytics for sentiment analysis and opinion mining;
 	* Graph mining and network analysis for studying polarized
communities;
 	* Modeling the spread of misinformation, rumors, fake news, hoaxes;
 	* Data-driven methods and techniques for detecting misinformation;
 	* Data-driven methods and techniques for detecting malicious,
polluting, and tampering accounts.

Applications of data science methods and techniques to: 

 	* Reduce polarization in online communities;
 	* Enforce social networks security and trust;
 	* Detect misinformation and malicious accounts in online communities;
 	* Detect and prevent extremization and hate in online discussions.

=====================================================================

SUBMISSION

Paper submission to the DSSD 2017 special session follows the same rules
of the DSAA'17 main conference. PAPERS SHOULD BE LIMITED TO A MAXIMUM OF
TEN (10) PAGES, IN THE IEEE 2-COLUMN FORMAT. All submissions should be
prepared for Double Blind reviewing. That is, neither the reviewers are
revealed nor the author information is to be disclosed.

Papers should be submitted through the EASYCHAIR CONFERENCE SYSTEM:
https://easychair.org/conferences/?conf=dsaa2017

Please, select the "Special Session on Data Science in Societal Debates"
after logging in.

=====================================================================

IMPORTANT DATES

SUBMISSION:    JUNE 8, 2017
Notification:    July 25, 2017
Camera ready:    Aug 15, 2017
Conference:    Oct 19-21, 2017

=====================================================================

PUBLICATION

All accepted papers will be published by IEEE and included in the IEEE
XPLORE DIGITAL LIBRARY. The conference proceedings will be submitted for
EI indexing through INSPEC by IEEE. Selected top quality papers will be
invited to submit to International Journal of Data Science and Analytics
(JDSA, Springer).

=====================================================================

ORGANIZERS

KALINA BONTCHEVA, University of Sheffield (UK)
ARISTIDES GIONIS, Aalto University (Finland)
MAURIZIO TESCONI, National Research Council (Italy)
STEFANO CRESCI, National Research Council (Italy)

=====================================================================

PROGRAM COMMITTEE

DINO PEDRESCHI, University of Pisa (Italy)
MICHAEL MATHIOUDAKIS, Aalto University (Finland)
FRED MORSTATTER, Arizona State University (USA)
THOMAS RISSE, Leibniz Universität Hannover (Germany)
ROBERTO DI PIETRO, Nokia Bell Labs Paris (France)
ONUR VAROL, Indiana University (USA)
IZABELA MOISE, ETH Zurich (Switzerland)
MARINELLA PETROCCHI, National Research Council (Italy)
LUCA MARIA AIELLO, Nokia Bell Labs Cambridge (UK)
TAKESHI SAKAKI, University of Tokyo (Japan)
GIANMARCO DE FRANCISCI MORALES, Qatar Computing Research Institute
(Qatar)
MARCELO MENDOZA, Universidad Técnica Federico Santa María (Chile)
MARK COTÈ, King's College London (UK)
ANGELO SPOGNARDI, DTU Compute (Denmark)
ALINA SÎRBU, University of Pisa (Italy) 
DAVID LAZER, Northeastern University, Boston (USA) 

-- 
Beatrice Rapisarda
Communication Manager
Web Applications for the Future Internet Lab, IIT- CNR
Via G.Moruzzi 1, 56124 Pisa, Italy
Tel.: +39 050 315 3438

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