Special Issue "Emerging Applications of Artificial Intelligence in Social Media Networks"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (31 December 2021).

Special Issue Editors

Prof. Nicolas Tsapatsoulis
E-Mail Website
Guest Editor
Cyprus University of Technology, Limassol 3036, Cyprus
Interests: artificial intelligence; multimedia information retrieval; web data mining; social computing and applications; government data processing; graph data processing
Special Issues, Collections and Topics in MDPI journals
Prof. Fernando Mendez
E-Mail Website
Guest Editor
University of Zurich, Zurich, Switzerland
Interests: Internet; Internet of Things; medical information systems; open systems; patient monitoring; protocols; recommender systems; social networking (online); collaborative filtering; social sciences computing; data analysis; data mining; pattern clustering
Dr. Constantinos Djouvas
E-Mail Website
Guest Editor
Cyprus University of Technology, Limassol 3036, Cyprus
Interests: artificial intelligence; crowdsourcing; big data; data analysis; web technologies

Special Issue Information

Dear Colleagues,

Social media is an overwhelming source of information and disinformation. According to recent surveys, social media users spend an average of 2.5 hours per day on online networking activities across different social media networks and messaging applications. The explosion of social media data and social media network use has caused an impressive amount of fundamental and applied research. Artificial intelligence, and especially machine learning, is by definition an area that is taking advantage of the availability of massive data. This is further highlighted by the contemporary deep learning techniques which tend to dominate the field, especially as far as multimedia data is concerned. 

The aim of this Special Issue is to identify, record, and promote emerging application of artificial intelligence on social media data. To this end, both review and research articles covering the following topics are welcome:

  • Big data techniques for social media data processing and analysis
  • Data mining in social media
  • Graph theory techniques for social media data
  • Fake accounts detection
  • Fake news detection
  • Forecasting election outcomes through social media data
  • Privacy protection
  • Political party profiling with the aid of social media data
  • Social media data and crowd-tagging
  • Social media data as a source for multimedia annotation and Indexing
  • Topic identification of social media hashtags

Prof. Nicolas Tsapatsoulis
Prof. Fernando Mendez
Dr. Constantinos Djouvas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. 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 website.

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 page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). 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.

Keywords

  • Big data techniques for social media data processing and analysis
  • Data mining in social media
  • Graph theory techniques for social media data
  • Fake accounts detection
  • Fake news detection
  • Forecasting election outcomes through social media data
  • Privacy protection
  • Political party profiling with the aid of social media data
  • Social media data and crowd-tagging
  • Social media data as a source for multimedia annotation and Indexing
  • Topic identification of social media hashtags

Published Papers

There is no accepted submissions to this special issue at this moment.
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