Gilardi, Fabrizio

ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Gilardi, F., Alizadeh, M., & Kubli, M. (2023) · arXiv

Computational and Text Analysis MethodsTopic Modeling

Cited by 1,207

ChatGPT outperforms crowd workers for text-annotation tasks

Gilardi, F., Alizadeh, M., & Kubli, M. (2023) · Proceedings of the National Academy of Sciences

Computational and Text Analysis MethodsTopic Modeling

Cited by 1,197

Empathy-based counterspeech can reduce racist hate speech in a social media field experiment

Hangartner, D., Gennaro, G., Alasiri, S., Bahrich, N., Bornhoft, A., Boucher, J., Demirci, B. B., Derksen, L., Hall, A., Jochum, M., et al. (2021) · Proceedings of the National Academy of Sciences

Hate Speech and Cyberbullying DetectionSocial and Intergroup Psychology

Cited by 144

People are skeptical of headlines labeled as AI-generated, even if true or human-made, because they assume full AI automation

Altay, S., & Gilardi, F. (2024) · PNAS Nexus

Misinformation and Its ImpactsEthics and Social Impacts of AI

Cited by 119

Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning

Alizadeh, M., Kubli, M., Samei, Z., Dehghani, S., Zahedivafa, M., Bermeo, J. D., Korobeynikova, M., & Gilardi, F. (2025) · Journal of Computational Social Science

Computational and Text Analysis MethodsTopic Modeling

Cited by 80

Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning

Alizadeh, M., Kubli, M., Samei, Z., Dehghani, S., Zahedivafa, M., Bermeo, J. D., Korobeynikova, M., & Gilardi, F. (2023) · arXiv

Computational and Text Analysis MethodsTopic Modeling

Cited by 18