Unveiling Truth Amidst the Pandemic: Multimodal Detection of COVID-19 Unreliable News. - Royal Pathak; Bishal Lakha; Rohan Raut; Hongmin (Steven) Kim; Francesca Spezzano (MISDOOM, 2023)

Understanding the Contribution of Recommendation Algorithms on Misinformation Recommendation and Misinformation Dissemination on Social Networks. - Royal Pathak; Francesca Spezzano; Maria Soledad Pera (ACM Trans. Web, 2023)

Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey. - Md. Nazmus Sakib; Md Athikul Islam; Royal Pathak; Md Mashrur Arifin (AIBThings, 2024)

Advancing Misinformation Awareness in Recommender Systems for Social Media Information Integrity. - Royal Pathak (CIKM, 2024)

An Empirical Analysis of Intervention Strategies' Effectiveness for Countering Misinformation Amplification by Recommendation Algorithms. - Royal Pathak; Francesca Spezzano (ECIR (4), 2024)

Analyzing the Interplay between Diversity of News Recommendations and Misinformation Spread in Social Media. - Royal Pathak; Francesca Spezzano (UMAP (Adjunct Publication), 2024)

Modeling the Diffusion of Fake and Real News through the Lens of the Diffusion of Innovations Theory. - Abishai Joy; Royal Pathak; Anu Shrestha; Francesca Spezzano; Donald Winiecki (ACM Trans. Soc. Comput., 2024)

Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems. - Royal Pathak; Francesca Spezzano (UMAP, 2025)