Update README.md

README.md

@@ -35,7 +35,6 @@ IDA develops a comprehensive framework to monitor, detect, and mitigate informat
 * Berjawi O., Khatoun R., Fahs W., Fenza G., **[Leveraging Sentiment and Emotion Analysis to Enhance Cyberbullying Detection](https://ieeexplore.ieee.org/document/10883815)**, International Conference on Social Networks Analysis, Management and Security, SNAMS, (2024), pp. 81 - 86.
 * Fenza G., Froncillo S., Stanzione C., **[Enhancing Fraud Detection through Cascading Machine Learning Models and Clustering Techniques](https://ceur-ws.org/Vol-3731/paper19.pdf)**, Italian Conference on Cyber Security (ITASEC 2024), CEUR Workshop Proceedings, 3731.
 * De Maio, C., Fenza, G., Gallo, M. et al. **[A Perceived Risk Index Leveraging Social Media Data: Assessing Severity of Fire on Microblogging](https://link.springer.com/article/10.1007/s12559-024-10266-4)**, (2024) Cognitive Computation, 16 (5), pp. 2724 - 2734.
-* Fenza G., Loia V., Stanzione C., Di Gisi M., **[Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study](https://www.sciencedirect.com/science/article/pii/S0925231224007227)**, (2024) Neurocomputing, 596, art. no. 127951.
 * Berjawi O., Cavaliere D., Fenza G., Loia V., **[Understanding radicalization pathways: a framework for assessing diversity in YouTube recommendation systems](https://link.springer.com/article/10.1007/s13278-024-01394-8)**, (2024) Social Network Analysis and Mining, 14 (1), art. no. 233.
 * Fenza, G., Furno, D., Gallo, M., Loia, V., & Trotta, P. P. **[Claim Verification Leveraging In-context Learning and Retrieval Augmented](https://link.springer.com/chapter/10.1007/978-3-031-85386-9_2)**. In Advances in Social Networks Analysis and Mining: Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining—ASONAM 2024 Volume 2 (p. 17). Springer Nature.
 * Berjawi, O., Cavaliere, D., & Fenza, G. (2024, September). **[A Multi-aspect Analysis of Echo Chambers on Video-Sharing Social Media](https://link.springer.com/chapter/10.1007/978-3-031-85240-4_16)**. In International Conference on Advances in Social Networks Analysis and Mining (pp. 197-213). Cham: Springer Nature Switzerland.