Carrera Alonso, XianaFernández Pichel, MarcosLosada Carril, David Enrique2025-12-292025-12-292025-07-13Carrera, X., Fernández Pichel, M. m Losada, D. (2025). Generating Effective Health-Related Queries for Promoting Reliable Search Results. In: SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. 979-8-4007-1592-1 (pp. 2627-2631)979-8-4007-1592-1https://hdl.handle.net/10347/44795Misinformation on the Internet poses significant risks to users seeking health information. This paper addresses the challenge of generating effective health-related queries to promote reliable search results. We propose a method leveraging Large Language Models to generate synthetic narratives that guide the creation of alternative queries. These queries are designed to retrieve more helpful and fewer harmful documents compared to those retrieved by the original user queries. We evaluate the effectiveness of these queries using classic and neural retrieval models across multiple datasets, demonstrating promising improvements in retrieving reputable content.eng© Authors 2025. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Digital Library, https://doi.org/10.1145/3726302.3730202Query VariantsLarge Language ModelsHealth Misinformationbook part10.1145/3726302.3730202open access