Analysis of misinformation in the social media


Social media sites play an important role in information dissemination. Users of social media sites have access to information about various science, education-related and political issues which is not always accurate. Since information spreads virally, such inaccuracies could potentially result in widespread damage to society. Analysis of misinformation is especially topical now, as billions of social media sites users may be affected by rumors.

CSoNet 2019 will feature a special track on analysis of misinformation in the social media. The goal of this track is to provide a venue to disseminate research that is focused on examination and prevention of misinformation spread, such as analysis of information cascades in the social media, methods and tools of identification of fake user accounts, and methods of prevention of identity theft at social media sites, focusing on techniques based on supervised and unsupervised machine learning algorithms, anomaly detection, and machine learning algorithms in adversarial settings.

The scope of the special track includes (but is not limited to) the following topics:

  • Methods and tools for the identification of misinformation at social media sites
  • Methods and tools for the identification of fake user accounts
  • Analysis of (mis-)information cascades at social media sites
  • Security and privacy in online social networks
  • Fraud detection strategies
  • Machine learning for security and privacy
  • Adversarial machine learning
  • Trustworthiness analysis
  • Anomaly detection algorithms and applications

Accepted papers will be published in the conference proceedings; selected high quality papers will be invited for publications in Journal of Combinatorial Optimization, IEEE Transactions on Network Science and Engineering, and Computational Social Networks.

Contribution Types

  • Regular papers: 12 pages
  • Short papers: 6-8 pages
  • Extended Abstract  (work in progress) : 2 pages

The workshop will accept original research contribution, review paper, and survey paper. Page limit is including the references and appendices.

If you do not want to publish the extended abstract and only want to present it, please mention it in the extended abstract and if possible, please also email this to the organizers.

Submission Format

  • Papers must be formatted using the LNCS format.
  • Submissions are open on EasyChair.
  • More details are available at CSONET Website.



  • Each accepted paper needs at least one full registration, before the camera-ready manuscript can be included in the proceedings.
  • Registration fee details are available at CSoNet 2019 Website.

Important Dates

  • Paper Submission Deadline: August 24, 2019
  • Acceptance Notification: September 24, 2019
  • Camera Ready & Registration: October 01, 2019
  • Conference Dates: November 18-20, 2019


Dr. Alexander Semenov, alexander.v.semenov at