广西师范大学学报（自然科学版）2026，Vol.44Issue(1)：80-90,11.DOI:10.16088/j.issn.1001-6600.2024122103
融合情感知识的虚假新闻检测
Fake News Detection with Integrated Emotional Knowledge
摘要
Abstract
Emotion plays a significant role in fake news detection.Existing research mainly focuses on extracting emotional features from a linguistic perspective,which fails to explore the relationships between emotions from a psychological perspective.In addition,the connection between sentiment features and text features is ignored by existing work,and the potential semantic information of news can not be explored fully.To address the above issues,a fake news detection mode(FNEK)is proposed by this paper,which integrates psychological and emotional knowledge.The Plutchik's wheel of emotions theory from psychology is incorporated by the model to extract emotional features,and the emotional features are combined with textual features from local and global perspectives,which enhances the accuracy and reliability of fake news detection.Experimental results on publicly available Politifact,Weibo16,and Weibo20 datasets show that the proposed model improves accuracy by 2.1,0.7 and 2.5 percentage points,respectively,compared with state-of-the-art baseline models.关键词
虚假新闻检测/语言学/心理学/情感知识/Plutchik情感轮Key words
fake news detection/linguistic perspective/psychological perspective/emotional knowledge/Plutchik's wheel of emotions分类
信息技术与安全科学引用本文复制引用
黄琪,李必镡,王明文,肖聪,刘璟,罗文兵..融合情感知识的虚假新闻检测[J].广西师范大学学报（自然科学版）,2026,44(1):80-90,11.基金项目
国家自然科学基金(62466028,62266023) （62466028,62266023）
江西省自然科学基金(20242BAB20045) （20242BAB20045）
江西省教育厅科学技术研究项目(GJJ2200354) （GJJ2200354）
