False Rumor Detection
False Rumor Detection is a computational method designed to identify and verify the veracity of unverified information in digital communication by distinguishing false rumors from true or neutral claims through linguistic, temporal, and network-based analysis.
177
Publications
14.2K
Citations
521
Authors
249
Institutions
Publications per year
2017–2026
151
Parents
177
Information credibility on twitter
Carlos Castillo, Marcelo Mendoza, Bárbara Poblete · 2011 · 2.5K citations
Automatic detection of rumor on Sina Weibo
Fan Yang, Yang Liu, Xiaohui Yu et al. · 2012 · 661 citations
Zhe Zhao, Paul Resnick, Qiaozhu Mei · 2015 · 608 citations
Business, Communication, Data Mining +13
1–5 of 177
521
11
h-index
10
h-index
8
h-index
8
h-index
6
h-index
1–5 of 521
249

University of Warwick
Coventry, United Kingdom
8 h-index
24 publications
5.1K citations
University of Sheffield
Sheffield, United Kingdom
8 h-index
12 publications
1.9K citations

National University of Defense Technology
Changsha, China
8 h-index
16 publications
509 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
13 publications
889 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
8 publications
588 citations
Institute of Information Engineering
Beijing, China
4 h-index
9 publications
623 citations

King Saud University
Riyadh, Saudi Arabia
4 h-index
6 publications
264 citations
The Alan Turing Institute
London, United Kingdom
4 h-index
10 publications
866 citations
1–8 of 249
10 publications · 364 citations
11
h-index
7 publications · 312 citations
9
h-index
Repository · 8 publications · 402 citations
8
h-index
5 publications · 156 citations
7
h-index
4 publications · 212 citations
6
h-index
1–5