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

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 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

More information: 





The conference on Ontologies, DataBases, and Applications of Semantics for Large Scale Information Systems (ODBASE’18) provides a forum on the use of ontologies, rules and data semantics in novel applications. Of particular relevance to ODBASE are papers that bridge traditional boundaries between disciplines such as artificial intelligence and Semantic Web, databases, data science, data analytics and machine learning, human-computer interaction, social networks, distributed and mobile systems, data and information retrieval, knowledge discovery, and computational linguistics.


ODBASE’18 intends to draw a highly diverse body of researchers and practitioners by being part of the Federated conferences Event "On the Move to Meaningful Internet Systems 2018 (OnTheMove'18)" that co-locates three conferences: ODBASE'18, C&TC'18 (International Symposium on Secure Virtual Infrastructures), and CoopIS'18 (International Conference on Cooperative Information Systems).


ODBASE 2018 will consider two categories of papers: research and experience. Research papers must contain novel, unpublished research results. Experience papers must describe performance or usability of existing real-world systems, empirical studies, business / industry cases with (proven) solutions / systems for applied technological challenges, and concrete results demonstrating real-world importance and impact; preference will be given to papers that describe software products or systems that are in use in the community and/or the industry.


More information:

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