COMFOR Lab
About Us
Team Member
Research Associate
M.Sc. Jenny Felser
Research Interest:
Interpretable topic modelling as a Tool for hypothesis-driven forensic communication analysis.
Projects:
Hypothesis-driven Topic Modeling
Research Associate
M.Sc. Lorenz Dumanski
Research Interest:
Analysis of the transferability of psychological personality traits into the digital space.
Projects:
Digital Personality Modeling
ADAAT/DAF
Research Associate
M.Sc. Jian Xi
Research Interest:
Semantic analysis of complex communication networks in mobile forensics. Joint semantic analysis for a comprehensive understanding of communication in mobile forensic investigation.
Development:
Hansken-MoNA-Integration
Research Assistant
B.Sc. Alex Prezewowsky
Development:
Social Network Analyzer (SoNA)
Research Focus
Communication via instant messaging services and social networks is not only very popular for everyday exchanges and sharing news. Instead, (mobile) communication content can also be criminally relevant. Criminals communicate via mobile devices to prepare, plan or carry out crimes. In addition, social networks can be misused to spread harmful and problematic content. The dissemination of hate speech, fake news and announcements of violence are just a few examples. Accordingly, evaluating communication data has become an important part of many criminal investigations. In this context, our research group, Communication Forensics (ComFor), focuses on supporting law enforcement authorities in two fundamental tasks: mobile communication and social network analysis. For both topics, we develop and adapt text-mining methods to facilitate processing immense amounts of messages and posts, detecting case-relevant content and relationships between suspects.
Selected Fields of Research
- Analysis of mobile communication data
- Development of the analysis platform MoNA (Link)
- Extraction and analysis of communication networks
- Semantic analysis of text, audio and image data
- Recognition of sublanguages
- Analysis of social networks
- Development of the analysis platform SoNA
- Detection of opinions and trends in (political) networks
- Development of an artificial immune system for social networks
- Prediction of events based on communication in social networks
- Detection of opinion leaders/influencers
- Detection of special phenomena such as hate speech or fake news
- Predicting the significance and development of political networks
- Forensic text information management
- Development of the e-mail analysis platform SeMEx
- Development of the forensic text analysis platform SemanTA
- Development of forensic knowledge representations
- Development of algorithms for the automatic generation of knowledge maps from forensic text data
- Development of forensic search technologies