Feuerriegel, Stefan

Generative AI

Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024) · Business & Information Systems Engineering

Artificial Intelligence ApplicationsInformation Systems Theories and Implementation

Cited by 2,267

Deep learning in business analytics and operations research: Models, applications and managerial implications

Kraus, M., Feuerriegel, S., & Oztekin, A. (2020) · European Journal of Operational Research

Big Data and Business IntelligenceImpact of AI and Big Data on Business and Society

Cited by 392

Negativity drives online news consumption

Robertson, C. E., Pröllochs, N., Schwarzenegger, K., Pärnamets, P., Van Bavel, J. J., & Feuerriegel, S. (2023) · Nature Human Behaviour

News Media Framing and Political CommunicationMisinformation and Its Impacts

Cited by 333

Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing

Senoner, J., Netland, T., & Feuerriegel, S. (2022) · Management Science

Explainable Artificial Intelligence (XAI)Impact of AI and Big Data on Business and Society

Cited by 317

Mitigating bias in machine learning for medicine

Vokinger, K. N., Feuerriegel, S., & Kesselheim, A. S. (2021) · Communications Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 269

From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence

Grimes, M., von Krogh, G., Feuerriegel, S., Rink, F., & Gruber, M. (2023) · Academy of Management Journal

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 180

Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis

Holzner, N., Maier, S., & Feuerriegel, S. (2025) · arXiv

Creativity in Education and NeuroscienceDesign Education and Practice

Cited by 143

Using natural language processing to analyse text data in behavioural science

Feuerriegel, S., Maarouf, A., Bär, D., Geissler, D., Schweisthal, J., Pröllochs, N., Robertson, C. E., Rathje, S., Hartmann, J., Mohammad, S. M., et al. (2025) · Nature Reviews Psychology

Computational and Text Analysis MethodsSentiment Analysis and Opinion Mining

Cited by 140

Continual learning in medical devices: FDA's action plan and beyond

Vokinger, K. N., Feuerriegel, S., & Kesselheim, A. S. (2021) · The Lancet Digital Health

Healthcare RegulationArtificial Intelligence in Healthcare and Education

Cited by 95

Analyzing Patient Trajectories With Artificial Intelligence

Allam, A., Feuerriegel, S., Rebhan, M., & Krauthammer, M. (2021) · Journal of Medical Internet Research

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 77

Emotions explain differences in the diffusion of true vs. false social media rumors

Pröllochs, N., Bär, D., & Feuerriegel, S. (2021) · Scientific Reports

Misinformation and Its ImpactsComplex Network Analysis Techniques

Cited by 77

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

Emotions in online rumor diffusion

Pröllochs, N., Bär, D., & Feuerriegel, S. (2021) · EPJ Data Science

Misinformation and Its ImpactsComplex Network Analysis Techniques

Cited by 63

A Brave New World of Human Resources Research: Navigating Perils and Identifying Grand Challenges of the GenAI Revolution

Nyberg, A. J., Schleicher, D. J., Bell, B. S., Boon, C., Cappelli, P., Collings, D. G., Dalle Molle, J. E., Feuerriegel, S., Gerhart, B., Jeong, Y., et al. (2025) · Journal of Management

AI and HR TechnologiesHuman Resource and Talent Management

Cited by 47

Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes

Maritsch, M., Föll, S., Lehmann, V., Bérubé, C., Kraus, M., Feuerriegel, S., Kowatsch, T., Züger, T., Stettler, C., Fleisch, E., et al. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Diabetes Management and ResearchNon-Invasive Vital Sign Monitoring

Cited by 35

The Virality of Hate Speech on Social Media

Maarouf, A., Pröllochs, N., & Feuerriegel, S. (2024) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 35

Predicting COVID-19 Spread from Large-Scale Mobility Data

Schwabe, A., Persson, J., & Feuerriegel, S. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

COVID-19 epidemiological studiesData-Driven Disease Surveillance

Cited by 26

Russian propaganda on social media during the 2022 invasion of Ukraine

Geissler, D., Bär, D., Pröllochs, N., & Feuerriegel, S. (2022) · arXiv

Misinformation and Its ImpactsEuropean and Russian Geopolitical Military Strategies

Cited by 14

HQP: A Human-Annotated Dataset for Detecting Online Propaganda

Maarouf, A., Bär, D., Geissler, D., & Feuerriegel, S. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Misinformation and Its ImpactsHate Speech and Cyberbullying Detection

Cited by 7

HQP: A Human-Annotated Dataset for Detecting Online Propaganda

Maarouf, A., Bär, D., Geissler, D., & Feuerriegel, S. (2023) · arXiv

Misinformation and Its ImpactsHate Speech and Cyberbullying Detection

Cited by 7