EXMULF: An Explainable Multimodal Content-Based Fake News Detection System. - Sabrine Amri; Dorsaf Sallami; Esma Aïmeur (FPS, 2021)

A deep reinforcement learning based decision-making approach for avoiding crowd situation within the case of Covid'19 pandemic. - Wejden Abdallah; Dalel Kanzari; Dorsaf Sallami; Kurosh Madani; Khaled Ghédira (Comput. Intell., 2022)

From Hype to Reality: Transformer-Based Models for Fake News Detection Performance and Robustness Revealed. - Dorsaf Sallami; Ahmed Gueddiche; Esma Aïmeur (AiOfAi@IJCAI, 2023)

Trust-based Recommender System for Fake News Mitigation. - Dorsaf Sallami; Rim Ben Salem; Esma Aïmeur (UMAP (Adjunct Publication), 2023)

Does Gender Matter? Examining and Mitigating Gender Bias in Fake News Detection. - Dorsaf Sallami; Esma Aïmeur (FPS (1), 2024)

From Deception to Detection: The Dual Roles of Large Language Models in Fake News. - Dorsaf Sallami; Yuan-Chen Chang; Esma Aïmeur (CoRR, 2024)

FNDEX: Fake News and Doxxing Detection with Explainable AI. - Dorsaf Sallami; Esma Aïmeur (CoRR, 2024)

Exploring the Power of Dual Deep Learning for Fake News Detection. - Hounaïda Moalla; Hana Abid; Dorsaf Sallami; Esma Aïmeur; Bassem Ben Hamed (Informatica (Slovenia), 2024)

Exploring beyond detection: a review on fake news prevention and mitigation techniques. - Dorsaf Sallami; Esma Aïmeur (J. Comput. Soc. Sci., 2025)

Fairframe: a fairness framework for bias detection and mitigation in news. - Dorsaf Sallami; Esma Aïmeur (AI Ethics, 2025)