Our junior research group leader Philipp Lorenz-Spreen, whose work focuses on the digital information environment and among other things on misinformation, has co-authored a comprehensive meta-analysis of over 256,000 decisions from thousands of participants that sheds light on who is most susceptible to misinformation and the factors behind it.
In this video, Dr. Philipp Lorenz-Spreen from SynoSys shares insights into the role of artificial intelligence in spreading fake news during the U.S. election campaign. His expertise highlights the complex interactions between technology, misinformation, and public opinion, raising awareness of the potential impact that AI-driven narratives have on democratic processes.
With heightened manipulation tactics from Russia, China, and Iran on the occasion of the U.S. elections, a surge of misleading narratives seeks to distort perceptions of key political figures. Philipp Lorenz-Spreen, junior research group leader at SynoSys, delves into how these efforts exploit digital platforms to shape public opinion on a global scale. Emphasizing the need for resilience against foreign interference, he discusses the sophisticated, evolving techniques that make misinformation a pressing scientific and societal challenge
We are excited to share the results of our recent study, in which we report new insights into Post-exertional Malaise (PEM), a severe condition where physical activity amplifies symptoms in people with Post-COVID Syndrome (PCC) and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).
We are thrilled to announce that our project, “FEDORA - Federated Network Modeling of Ecological Complex Dynamical Patterns in Post-COVID,” has successfully secured funding. This pioneering initiative aims to advance the understanding of how ecological systems are affected by complex dynamical patterns emerging in the aftermath of the COVID-19 pandemic.
One of the most important tools available to limit the spread and impact of infectious diseases is vaccination. It is therefore essential to understand what factors determine people’s vaccination decisions. To this end, previous behavioural research made use of, (i) controlled but often abstract or hypothetical studies (e.g., vignettes) or, (ii) realistic but typically less flexible studies that make it difficult to understand individual decision processes (e.g., clinical trials). Combining the best of these approaches, we propose integrating real-world Bluetooth contacts via smartphones in several rounds of a game scenario, as a novel methodology to study vaccination decisions and disease spread. In our 12-week proof-of-concept study conducted with N = 494 students, we found that participants strongly responded to some of the information provided to them during or after each decision round, particularly those related to their individual health. In contrast, information related to others’ decisions and outcomes (e.g., the number of vaccinated or infected individuals) appeared to be less significant. We discuss the potential of this novel method and point to fruitful areas for future research.