Fatima Haouari

Dr. Fatima Haouari is a Research Fellow in the School of Computer Science at the University of Sheffield, specializing in Machine Learning and Natural Language Processing (NLP). She is a core member of the Natural Language Processing research group, focusing on advancing methodologies for misinformation detection, rumor verification, and social media analysis. Her work integrates computational linguistics with real-world applications, including developing multilingual systems for Arabic-language content analysis.

Haouari has pioneered datasets such as ArCOV-19 and ArCOV19-Rumors, which provide foundational resources for studying Arabic social media content during the pandemic. She is a key contributor to the CLEF-CheckThat! initiative, leading tasks on check-worthiness estimation, authority identification, and adversarial robustness in fact-checking systems. Her technical work includes optimizing resource allocation for live streaming and transcoding systems, reflecting a dual focus on theoretical NLP and practical system design.

Her research trends emphasize cross-lingual challenges in information verification across platforms like Twitter, with a focus on Arabic language processing. Recent work highlights include real-time claim verification systems (e.g., Tahaqqaq) and frameworks for detecting stance of authoritative voices in rumors. While not explicitly noted, her contributions span both academic publications and applied systems development. She collaborates extensively in international research networks and has designed benchmark evaluation tasks for NLP challenges.