Special Issue Information

Dear Colleagues,

Interest in social media has only increased with time. Social media today represent the main channel to communicate and to share personal information. Social media analysis usually combines content-based and network-based analysis. While content-based approaches analyze media using media analysis techniques, network-based approaches analyze static and dynamic network properties with the aim of detecting influencers for marketing purposes. Network-based analysis represents a fundamental process in order to understand the dynamics of these platforms. New techniques and technologies have been proposed in order to enrich the social media analytics field. In particular, decentralized approaches have been proposed in order to face privacy issues, and AI has been applied in order to improve analysis over large sets of data. The main goal of this Special Issue is to collect research contributions, applications, analyses, methodologies, or strategies that strengthen or face the knowledge of social media thanks to advanced analyses or new technologies, such as P2P networks or blockchain. We hope that this Special Issue will contribute to raising awareness about new proposals and the impact of new technologies on social media. Potential topics include, but are not limited to, the following: - Social media analysis;- Decentralized approaches for social media;- Blockchain social media: analysis and applications;- AI for social media;- Social media mining;- Privacy in social media;- Fake news and misinformation.

Dr. Barbara Guidi
Dr. Carlos A. Iglesias
Dr. Giulio Rossetti
Dr. Kevin Koidl
Guest Editors


More information at https://www.mdpi.com/journal/applsci/special_issues/analysis_social_media 

Call for Paper

The 1st International Electronic Conference on Applied Sciences will be held on 10–30 November 2020ASEC 2020 aims to promote and advance the exciting and rapidly changing field of applied sciences. All proceedings will be held online at https://sciforum.net/conference/ASEC2020.

Topics of interest include, but are not limited to:

ASEC 2020 is a virtual conference sponsored by Applied Sciences. Participation is free of charge for authors and attendees. Accepted papers will be gathered in the proceedings of the conference. Selected extended versions of the papers will be published in a Special Issue of Applied Sciences and undergo full peer review (ISSN 2076-3417; Impact Factor: 2.474 (2018)) with a 10% discount on the article processing charge. ASEC 2020 offers you the opportunity to participate in this international, scholarly conference without the concerns or expenditure of travel—all you need is your computer and access to the internet. We would like to invite you to attend this conference and present your latest work.

Abstracts (in English) should be submitted online by 28 October 2020 at https://sciforum.net/conference/ASEC2020. For accepted abstracts, the proceedings can be submitted by 31 October 2020. The conference will be held on 10–30 November 2020.

Paper Submission Guidelines

For information about the submission procedure and preparation of a full presentation, please refer to the "Instructions for Authors".

Time Schedule


  • Abstract Submission: 28 October 2020
  • Notification of Acceptance: 30 October 2020
  • Paper Submission Deadline: 31 October 2020
  • Conference Open: 10–30 November 2020

Special Issue "News Research in Social Networks and Social Media" - 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.


Journal Information Scopus 2.4, SJR Q3 https://www.scopus.com/sourceid/21100223111#tabs=0

More information: https://www.mdpi.com/journal/information/special_issues/news_research-socialmedia