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Plos One|December 22, 2018
Statistical inferences for polarity identification in natural languageNicolas Pröllochs, Stefan Feuerriegel, Dirk NeumannScientific Reports|November 23, 2021
Emotions explain differences in the diffusion of true vs. false social media rumorsNicolas Pröllochs, Dominik Bär, Stefan FeuerriegelPNAS Nexus|March 24, 2025
The role of social media ads for election outcomes: Evidence from the 2021 German electionDominik Bär, Nicolas Pröllochs, Stefan FeuerriegelNature Human Behaviour|March 17, 2023
Negativity drives online news consumptionClaire E Robertson, Nicolas Pröllochs, Kaoru Schwarzenegger, et al.Scientific Reports|July 16, 2025
References to unbiased sources increase the helpfulness of community fact-checksKirill Solovev, Nicolas PröllochsPNAS Nexus|January 30, 2023
Moralized language predicts hate speech on social mediaKirill Solovev, Nicolas PröllochsPNAS Nexus|July 1, 2024
Community notes increase trust in fact-checking on social mediaChiara Patricia Drolsbach, Kirill Solovev, Nicolas PröllochsScientific Reports|May 9, 2022
Estimating and explaining cross-country variation in the effectiveness of non-pharmaceutical interventions during COVID-19Nicolas Banholzer, Stefan Feuerriegel, Werner VachProceedings of the National Academy of Sciences of the United States of America|June 24, 2021
Monitoring the COVID-19 epidemic with nationwide telecommunication dataJoel Persson, Jurriaan F Parie, Stefan FeuerriegelCommunications Medicine|September 15, 2021
Mitigating bias in machine learning for medicineKerstin N Vokinger, Stefan Feuerriegel, Aaron S KesselheimPageof 9