Facility for Applications of Computational Modeling in the Analysis of Social Processes


Research on changes in society based on the analysis of large data sets obtained from various sources, including the Internet, social media, radio, television, web cameras, telephones, sensors, etc., on the basis of data science, using much larger data sets and faster analysis methods than in classical social research.

Research Areas

  • Automatic and structured acquisition of broadcast content from television, radio, websites and social media in an automatic and structured manner
  • Automation of media research through the use of text and image analysis, etc.
  • Large-scale Internet content research methods, especially large-scale comparative research (comparing of tens, hundreds, and thousands of sites)
  • Research on the content variability of web publications over time
  • Experimenting with unusual methods of Internet analysis (e.g., color analysis, text parameterization, responsiveness measurement, aggression evaluation)


  • Early detection of social trends based on the analysis of large sets of web content
  • Detection of viral communication, the spread of fake news and attempts to covertly influence the society on the Internet, television and radio
  • Identification of opinion leaders and thematic circles in Internet communication
  • Analysis of language and sentiment in web content groups
  • Research on the societal response to public announcements and advertising messages on the Internet (including social media, radio and television)
  • Large-scale Internet content research (text, advertising, video)
  • Detection of information security threats and social engineering attacks
  • Predictive modeling of online social behavior

Facility Expert

Marek Robak, PhD
Marek Robak, PhD
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