Meysam Alizadeh

Courses

Format for Download Link

2025
- Marchal, N., Hoes, E., Klüser, K. J., Hamborg, F., Alizadeh, M., Kubli, M., & Katzenbach, C. (2025). How Negative Media Coverage Impacts Platform Governance: Evidence from Facebook, Twitter, and YouTube Political Communication, 42, 215–233. https://doi.org/10.1080/10584609.2024.2377992

2024
- Alizadeh, M., Kubli, M., Samei, Z., Dehghani, S., Zahedivafa, M., Bermeo, J. D., Korobeynikova, M., & Gilardi, F. (2024). Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning Journal of Computational Social Science, 8, 17. https://doi.org/10.1007/s42001-024-00345-9
- Alizadeh, M., Zare, D., Samei, Z., Alizadeh, M., Kubli, M., Aliahmadi, M., Ebrahimi, S., & Gilardi, F. (2024). Comparing methods for creating a national random sample of twitter users Social Network Analysis and Mining, 14, 160. https://doi.org/10.1007/s13278-024-01327-5

2023
- Alizadeh, M., Hoes, E., & Gilardi, F. (2023). Tokenization of social media engagements increases the sharing of false (and other) news but penalization moderates it Scientific Reports, 13, 13703. https://doi.org/10.1038/s41598-023-40716-2
- Alizadeh, M., & Shapiro, J. N. (2023). Few-Shot Information Operation Detection Using Active Learning Approach In R. L. Thomson, S. Al-khateeb, A. Burger, P. Park, & A. A. Pyke (Eds.), Social, Cultural, and Behavioral Modeling. 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20–22, 2023, Proceedings (pp. 253–262). Springer. https://doi.org/10.1007/978-3-031-43129-6_25
- Gilardi, F., Alizadeh, M., & Kubli, M. (2023). ChatGPT outperforms crowd workers for text-annotation tasks Proceedings of the National Academy of Sciences of the United States of America, 120, 1–3. https://doi.org/10.1073/pnas.2305016120