Keynote Speaker

David E. Losada

He is a full professor in Computer Science and Artificial Intelligence at the University of Santiago de Compostela (Spain). He received his BS in Computer Science in 1997 and his PhD in Computer Science in 2001, both of them with honors, from the University of A Coruña (Spain). From 2001 to 2002, he was a Lecturer in the San Pablo-CEU University (Spain) and in 2003 joined the University of Santiago de Compostela as a senior research fellow (“Ramón y Cajal” R&D programme).

His current research interests include a wide range of Information Retrieval (IR) and related areas such as: IR probabilistic models, summarization, novelty detection, sentence retrieval, patent search and opinion mining. He is an active member of the IR community. He participated in the Programme Committee of prestigious international conferences such as SIGIR or ECIR. He also led several R&D projects and contracts in the area of search technologies. In 2011 he was recognized with an ACM senior member award.

Health misinformation detection: search challenges, annotation issues and reliability of LLMs

In this presentation, I will share insights from our work at CiTIUS (Univ. Santiago de Compostela, Spain) on the development of technological and scientific solutions for detecting health misinformation. I will delve into the complexities of developing a multi-faceted retrieval system for misinformation detection that integrates multiple content-based features. The challenges of creating robust credibility benchmarks, given the subjective nature of credibility, will also be discussed. Lastly, I will share our recent efforts to evaluate the quality of LLMs’ responses to health-related queries.