西华大学学报（自然科学版）2025，Vol.44Issue(3)：37-46,60,11.DOI:10.12198/j.issn.1673-159X.5276
基于在线社交网络的虚假新闻检测方法综述
A Survey on Fake News Detection Based on Online Social Networks
摘要
Abstract
Online social networks have become increasingly popular as a means of social communica-tion and sharing information in the digital era.The growing demand for social interaction has resulted in the spread of fake news on social media platforms.The depth and wide scope of the harm of fake news have made its detection one of the hot research topics in natural language processing.The article first introduces the relevant concepts and issues of fake news,then reviews methods for detecting fake news based on in-ternal and external characteristics.It points out that fake news detection still faces challenges in real-time detection,data acquisition,class imbalance,and the spread of old rumors.Future research should focus on enhancing real-time fake news detection,multimodal and interpretable fake news detection,as well as mul-tilingual and cross-cultural fake news detection.关键词
在线社交网络/虚假新闻检测/深度学习/特征提取Key words
online social networks/fake news detection/deep learning/feature extraction分类
信息技术与安全科学引用本文复制引用
杨思佳,李显勇,杜亚军..基于在线社交网络的虚假新闻检测方法综述[J].西华大学学报（自然科学版）,2025,44(3):37-46,60,11.基金项目
国家自然科学基金(61802316) （61802316）
四川省科技计划资助(2022YFG0378,2023YFS0424,2023YFH0058,2023YFQ0044) （2022YFG0378,2023YFS0424,2023YFH0058,2023YFQ0044）
宜宾市科技计划重点研发项目(2023SF004). （2023SF004）
