User-Centred Social Media

Our group participates in the DFG-funded Research Training Group (Graduate School) “User-Centred Social Media” which aims at developing new models and methods for analyzing, designing and evaluating social media from a user-centred perspective. The main research fields in the RTG are modelling and understanding user behavior, social media engineering, and social media analytics. The program is an interdisciplinary endeavor located in our University department that fully integrates researchers from computer science and psychology. We contribute to the RTG with two PhD topics which lie in the areas of trustworthy recommendations based on social media sources and health-related behavioural interventions.

Modelling and Understanding User Behavior


Social Media Engineering



Catalin-Mihai Barbu

External PhD Student

Jürgen Ziegler

Full Professor

Related publications

Explaining Recommendations by Means of Aspect-Based Transparent Memories

Impact of Item Consumption on Assessment of Recommendations in User Studies

Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach

On the Convergence of Intelligent Decision Aids

Exploring chatbot user interfaces for mood measurement: A study of validity and user experience

Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study

Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies

More related publications »

Related projects


User-controllable methods for generating trustworthy recommendations from social media sources

Related developments


Stress resilience, a health recommender system for mental health promotion

PAX Mood Tracker

Mood Tracking: assessment quality vs. app quality