Lorenz-Spreen, Philipp

Modeling echo chambers and polarization dynamics in social networks

Baumann, F., Lorenz-Spreen, P., Sokolov, I. M., & Starnini, M. (2020) · Physical Review Letters

Opinion Dynamics and Social InfluenceSocial Media and Politics

Cited by 427

A systematic review of worldwide causal and correlational evidence on digital media and democracy

Lorenz-Spreen, P., Oswald, L., Lewandowsky, S., & Hertwig, R. (2022) · Nature Human Behaviour

Social Media and PoliticsMedia Influence and Politics

Cited by 348

Accelerating dynamics of collective attention

Lorenz-Spreen, P., Mønsted, B. M., Hövel, P., & Lehmann, S. (2019) · Nature Communications

Complex Network Analysis TechniquesComplex Systems and Time Series Analysis

Cited by 304

How behavioural sciences can promote truth, autonomy and democratic discourse online

Lorenz-Spreen, P., Lewandowsky, S., Sunstein, C. R., & Hertwig, R. (2020) · Nature Human Behaviour

Misinformation and Its ImpactsDigital Media and Philosophy

Cited by 223

Resolving content moderation dilemmas between free speech and harmful misinformation

Kozyreva, A., Herzog, S. M., Lewandowsky, S., Hertwig, R., Lorenz-Spreen, P., Leiser, M., & Reifler, J. (2023) · Proceedings of the National Academy of Sciences

Misinformation and Its ImpactsSocial Media and Politics

Cited by 166

Research can help to tackle AI-generated disinformation

Feuerriegel, S., DiResta, R., Goldstein, J. A., Kumar, S., Lorenz-Spreen, P., Tomz, M., & Pröllochs, N. (2023) · Nature Human Behaviour

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 64