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Beatrice Rapisarda <[log in to unmask]>
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Beatrice Rapisarda <[log in to unmask]>
Wed, 2 Dec 2020 15:38:54 +0100
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Special Issue: Big Data and Social Media Intelligence

Deadline for manuscript submissions: 30 December 2020.

Applied Sciences (IF: 2.474; ISSN 2076-3417) is an international, 
peer-reviewed open access journal.
The journal is covered the Science Citation Index Expanded (Web of 
Science), Scopus, INSPEC and Chemical Abstracts. Manuscripts are 
peer-reviewed and a first decision provided to authors approximately 
15.9 days after submission; acceptance to publication is undertaken in 
3.6 days (median values for papers published in this journal in the 
second half of 2019). An article processing charge (APC) of 1800 CHF 
(Swiss Francs) applies to papers accepted after peer review.

For further details on the submission process, please see the 
instructions for authors at

Special Issue Information
The spread of low-quality information by means of social media can 
influence public perception regarding important topics such as politics, 
health, or climate change. Sometimes these disinformation activities are 
carried out by groups of coordinated accounts that pollute social debate 
with a massive number of targeted messages. All these issues contribute 
to transforming social media into a fertile ground for manipulation 
attempts. The huge amount of data produced by interactions of people 
requires the use of sophisticated processing and analysis techniques in 
order to produce information for intelligence purposes. Recent studies 
have highlighted the importance of exploring, studying, and modeling 
large amounts of data in order to discover patterns or relationships and 
translate them into valuable information.

In this Special Issue, we invite authors to submit original research 
articles related to recent advances at all levels of the applications 
and technologies of big data and cyber intelligence. We are particularly 
interested in presenting emerging technologies related to machine 
learning and deep learning that may have a significant impact on this 
research field.

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

-Machine learning-based detection techniques to contrast malicious 
-Network analysis techniques for the characterization and detection of 
anomalous behaviors;
-The detection of coordinated inauthentic behaviors;
-Techniques for identifying information polarization on social media;
-Investigating the dynamics of the diffusion of disinformation;
-Text mining and graph mining for open-source intelligence;
-Social network analysis of large networks;
-Detection of DeepFake texts, images, and videos;
-Fake news and hoax detection
-The detection and characterization of information operations.

Manuscript Submission Information

Manuscripts should be submitted online at [1] by 
registering [2] and logging in to this website [3]. Once you are 
registered, click here to go to the submission form [4]. Manuscripts can 
be submitted until the deadline. All papers will be peer-reviewed. 
Accepted papers will be published continuously in the journal (as soon 
as accepted) and will be listed together on the special issue website. 
Research articles, review articles as well as short communications are 
invited. For planned papers, a title and short abstract (about 100 
words) can be sent to the Editorial Office for announcement on this 

Submitted manuscripts should not have been published previously, nor be 
under consideration for publication elsewhere (except conference 
proceedings papers). All manuscripts are thoroughly refereed through a 
single-blind peer-review process. A guide for authors and other relevant 
information for submission of manuscripts is available on the 
Instructions for Authors [5] page. _Applied Sciences_ [6] is an 
international peer-reviewed open access semimonthly journal published by 

Please visit the Instructions for Authors [5] page before submitting a 
manuscript. The Article Processing Charge (APC) [7] for publication in 
this open access [8] journal is 1800 CHF (Swiss Francs). Submitted 
papers should be well formatted and use good English. Authors may use 
MDPI's English editing service [9] prior to publication or during author 

Beatrice Rapisarda
_Cyber Intelligence Research Unit | IIT - CNR_
Via G.Moruzzi 1, 56124 Pisa, Italy
Tel.: +39 050 315 3438


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