Between March 24-29, 2026, Ewelina Księżniak participated in EACL 2026 (the 19th Conference of the European Chapter of the Association for Computational Linguistics) – one of the leading European scientific conferences in the field of natural language processing, bringing together researchers working in areas such as computational linguistics, artificial intelligence, and text analysis. This year’s edition of the conference took place in Rabat, Morocco.
During the event, she presented a paper entitled “Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations”, which was accepted to the Student Research Workshop (SRW) – a conference track dedicated to early-career researchers. The paper outlines a doctoral dissertation project focused on comparing how humans and language models recognize writing style. The research investigates the impact of controlled text modifications (so-called stylistic perturbations) on the ability of both humans and algorithms to identify style. The project combines computational approaches with user-based experiments in order to better understand the differences between human and model perception and their implications for areas such as authorship analysis, privacy protection, and linguistic creativity.