[CFP] Special Issue News Research in Social Networks and Social Media - Journal Information

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                                                Information -- Open Access
Journal

                          SPECIAL ISSUE: "News Research in Social Networks
and Social Media"

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Dear colleagues,


We are organizing a Special Issue entitled "News Reserach in Social
Networks and Social Media". The special issue will be published in a
peer-reviewed scientific journal indexed by SJR (Q3) and Scopus. For more
detailed on the journal, please refer to
https://www.mdpi.com/journal/information

In recent years, the news industry has undergone a big transformation as a
consequence of its online diffusion. According to a recent survey, social
media has become an important source of news for adults around the world.
Nevertheless, this survey also revealed that phenomena such as fake news
have had a serious impact on the credibility of online news. Additionally,
scientific and technical progress has enabled the increasing adoption of
data-driven news generation. Lastly, online news provides a rich dataset
for understanding the characteristics of news media channels, such as
political leaning and tone, as well as news consumption and sharing
dynamics.

This Special Issue aims to provide an overview of the application of
intelligent techniques in the news domain. The key areas of this Special
Issue include, but are not limited to:

   - Fake news detection (both explainable and multi-
   - modal);
   - News analytics and classification;
   - News similarity and clustering;
   - News provenance;
   - Automated news generation;
   - News event and topic evolution;
   - News framing research;
   - News personalization;
   - News emotion prediction and detection;
   - News sharing, diffusion, and consumption.

 More information:
https://www.mdpi.com/journal/information/special_issues/news_research-socialmedia
and in this flyer
<https://www.gsi.upm.es/images/articles/brochure/Flyer_of_SI_News_Research_in_Social_Networks_and_Social_Media.pdf>
..
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IMPORTANT DATES

Deadline for manuscript submissions: 31 May 2021.

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GUEST EDITORS
Dr. Carlos A. Iglesias Website
Guest Editor
Universidad Politécnica de Madrid, Madrid, Spain
Interests: multiagent systems; social computing; linked data; natural
language processing; affect technology; machine learning

Dr. J. Fernando Sánchez-Rada
Guest Editor
Universidad Politécnica de Madrid, Madrid, Spain
Interests: social context; sentiment analysis; linked data; social network
analysis; emotion analysis


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JOURNAL VISIBILITY
https://www.scopus.com/sourceid/21100223111#tabs
CiteScore 2019 2.4, SJR 2019 0.353 (Q3), SNIP 2019 0.929

Indexing & Abstracting Services

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MANUSCRIPT SUBMISSION INFORMAITON

All articles published in Information (ISSN 2078-2489) are published in
full open access. In order to provide free access to readers, and to cover
the costs of peer review, copyediting, typesetting, long-term archiving,
and journal management, an article processing charge (APC) of 1000 CHF
(Swiss Francs) applies to papers accepted after peer review. In addition to
Swiss Francs (CHF), we also accept payment in Euros (EUR), US Dollars
(USD), British Pound Sterling (GBP) or Japanese Yen (JPY).

Submitted papers should be well formatted and use good English. Authors may
use MDPI's English editing service prior to publication or during author
revisions. Note that many national and private research funding
organizations and universities explicitly cover APCs for articles resulting
from funded research projects. Discounts are also available for authors
from institutes which participate in MDPI's Institutional Open Access
Program (IOAP).

Please note that for papers submitted after 31 December 2020 an APC of 1400
CHF applies.



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*Dr. Carlos A. Iglesias*
Associate Professor
Intelligent Systems Group
Universidad Politécnica de Madrid
E.T.S.I. Telecomunicación - C-211 | Avda. Complutense, 30 | 28040 Madrid |
 Spain
tel +34 91 06 72121 <+34910672121>  | mobile +34 652 93 17 24 | fax +34 91
336 73 33

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Received on Wednesday, 28 October 2020 15:25:59 UTC