CSoNet 2019 Special Track: “Analysis of misinformation in the social media”

November 18 - 20, 2019, Ho Chi Minh City, Vietnam

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:

Accepted papers will be published in the conference proceedings; selected high-quality papers will be invited to special issue of the Journal of Combinatorial Optimization

Important dates:

Papers must be formatted using the LNCS format without altering margins or the font point. The maximum length of a regular paper (including references) is 12 pages; 2 pages for an extended abstract. Submissions are open on EasyChair

Contacts: Dr. Alexander Semenov, alexander.v.semenov at jyu.fi