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CALL FOR PAPERS

Elsevier - Online Social Networks and Media Journal

http://www.journals.elsevier.com/online-social-networks-and-media/

Special Issue on Disinformation, Hoaxes and Propaganda within Online Social
Networks and Media

Submission Deadline Extended: April, 30 2020

Note from guest editors: due to the COVID-19 impact on our research and
lives, we believe it is fair to give more time to our authors. We decided
to extend the deadline for six weeks, so everyone has time to adapt to the
new situation and polish the papers for our special issue. We welcome
papers that show analysis on dis/misinformation about COVID-19.

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Manuscripts can be submitted continuously until the deadline. Once a paper
is submitted, the review process will start immediately. Accepted papers
will be published continuously in the journal (in the first issue available
as soon as the paper is accepted). All accepted papers will be listed
together in an online virtual special issue published in the journal
website.

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Online Social Networks and Media natively convey the information quickly
and diffusely. They are 'optimised' for posting and sharing catchy and
sensationalist news. Problematic messages may span biased information
aiming to influence communities and agendas to deliberate lies meant to
mislead users. Whatever the strategy adopted for spreading false news (like
support of automatic accounts and presence of trolls to inflame crowds),
this would not be effective if there were no audience willing to believe
them. The quest for belonging to a community and reassuring answers, the
adherence to one's viewpoint: these are key factors for people to
contribute to the success of disinformation diffusion. That's why the
battle against disinformation must be fought at both technological and
sociological level.

This special issue seeks high-quality scientific articles (both theoretical
and experimental) on using Online Social Networks and Media (OSNEM) data
for the analysis of hoaxes, propaganda, and disinformation fabrication and
spread on social media, automatic techniques to be embedded in OSNEM
platforms to block/prevent their diffusion, and countermeasures to dissuade
people to believe/diffuse them.

Areas of interest include, but are not limited to, the design and
implementation of methodologies and techniques to detect disinformation
and/or raise the users' awareness to the threats represented by
disinformation, including:

- Modelling and analysis techniques to study/predict the dynamics of the
spread of disinformation;
- Text mining, graph mining, network and behavioural analyses to detect
disinformation;
- Reputation systems to support the detection - or mitigate the effects -
of disinformation;
- Disinformation strategies;
- Understanding and guiding the societal reaction in the presence of
disinformation;
- Supervised/unsupervised approaches to let accounts’ automation degree
emerge from the crowd;
- Computational fact-checking;
- Detection of information polarization in online communities;
- Definition and evaluation of novel metrics to verify news veracity;
- Domain-free approaches to fight disinformation (i.e., context independent
w.r.t. accounts, news, reviews, posts, tweets, etc..);
- Interplay between OSNEM social network structures and
diffusion/prevention of disinformation;
- Behavioural models behind disinformation diffusion/prevention obtained
from large-scale OSNEM data.
- Data-driven approaches, supported by publicly available datasets, are
more than welcome.

*** Guest Editors ***
Yelena Mejova, ISI Foundation, Turin, Italy
Marinella Petrocchi, IIT-CNR, Italy
Carolina Scarton, University of Sheffield, UK


*** Instructions for submission ***

Manuscripts must not have been previously published nor currently under
review by other journals or conferences. Papers previously published in
conference proceedings are eligible for submission if the submitted
manuscript is a substantial revision and extension of the conference
version. In this case, authors should indicate the previous publication(s)
in the cover letter and are also required to submit their published
conference article(s) and a summary document explaining the enhancements
made in the journal version.

The submission website for this journal is located at
https://www.editorialmanager.com/osnem/default.aspx.

Please select "VSI:Disinformation" when you reach the "Article Type" step
in the submission process. To ensure that all manuscripts are correctly
identified, for consideration by the special issue, the authors should
indicate in the cover letter that the manuscript has been submitted for the
special issue on Disinformation, Hoaxes and Propaganda within Online Social
Networks and Media.

For further information, please contact the guest editors at
[email protected]
[email protected]
[email protected]

-- 
*Carolina Scarton*
Academic Fellow
Department of Computer Science
University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/C.Scarton/
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