发布求助
文献互助 智能选刊 最新文献

Proceedings of the International Symposium on Intelligent Computing and Networking 2025 : Isicn 2025. International Symposium on Intelligent Computing and Networking (2025)最新文献

筛选
英文 中文
Fighting Health-Related Misinformation In Social Media With Large Language Models. 用大型语言模型打击社交媒体中与健康相关的错误信息。
Proceedings of the International Symposium on Intelligent Computing and Networking 2025 : Isicn 2025. International Symposium on Intelligent Computing and Networking (2025) Pub Date : 2026-01-01 Epub Date: 2025-11-18 DOI: 10.1007/978-3-032-09694-4_26
Moisés Robles-Pagán, Manuel Rodríguez-Martínez
{"title":"Fighting Health-Related Misinformation In Social Media With Large Language Models.","authors":"Moisés Robles-Pagán, Manuel Rodríguez-Martínez","doi":"10.1007/978-3-032-09694-4_26","DOIUrl":"10.1007/978-3-032-09694-4_26","url":null,"abstract":"<p><p>Combating disinformation in social media is a critical problem, notably when the disinformation targets healthcare. We explore how to fine-tune and use Large Language Models (LLM) to counteract health-related disinformation on social media. The fine-tuned base models for this project are T5, BERT, and LlaMa-2. We divided the fine-tuning into two sections: 1) classifying if the text is health-related and 2) verifying if the text contains disinformation. To rebut disinformation we use Retrieval Augmented Generation (RAG) to query trusted medical sources. Our experiment shows that the models can classify health-related with 94% precision, 95% recall, and 90% F1. We also show that we classify disinformation texts with 99% precision, 95% recall, and 97% F1. We present a system that can help health experts combat and rebut disinformation on different social media platforms.</p>","PeriodicalId":521243,"journal":{"name":"Proceedings of the International Symposium on Intelligent Computing and Networking 2025 : Isicn 2025. International Symposium on Intelligent Computing and Networking (2025)","volume":"1698 ","pages":"330-349"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12885067/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书