Out-of-context misinformation detection method based on stance analysis
As artificial intelligence-based automatic generation technology advances, the emergence of misinformation in more sophisticated guises has become a significant threat to the economy and social order. Among its forms, out-of-context misinformation stands out as particularly deceptive and readily exe...
Saved in:
Main Authors: | YUAN Xin, GUO Jie, QIU Weidong, HUANG Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2024-04-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024017 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
I know your stance! Analyzing Twitter users’ political stance on diverse perspectives
by: Jisu Kim, et al.
Published: (2025-01-01) -
Mobile stance-taking in nature: an exploration of gaze patterns during assessments of objects in nature
by: Barbara Laner
Published: (2025-02-01) -
Collaborative Knowledge Infusion for Low-Resource Stance Detection
by: Ming Yan, et al.
Published: (2024-09-01) -
Tanzanian journalists in countering fake news: disinformation and misinformation
by: Dianus Ishengoma, et al.
Published: (2024-12-01) -
Online News, Public Health and Misinformation: Their Impact on Foreign News Consumers Living in China
by: Weinan Yuan
Published: (2024-12-01)