Rumor Classification
Rumor Classification is a systematic method in computational social science that distinguishes false, unverified, or misleading information from factual content by analyzing linguistic, temporal, and propagation features within user-generated discourse on digital platforms.
125
Publications
9.2K
Citations
305
Authors
149
Institutions
Publications per year
2017–2026
107
Parents
125
Prominent Features of Rumor Propagation in Online Social Media
Sejeong Kwon, Meeyoung Cha, Kyomin Jung et al. · 2013 · 834 citations
Automatic detection of rumor on Sina Weibo
Fan Yang, Yang Liu, Xiaohui Yu et al. · 2012 · 661 citations
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
Jing Ma, Wei Gao, Kam‐Fai Wong · 2018 · 626 citations · Full text
Zhe Zhao, Paul Resnick, Qiaozhu Mei · 2015 · 608 citations
Business, Communication, Data Mining +13
Detection and Resolution of Rumours in Social Media
ACM Computing Surveys · 2018 · 584 citations · Full text
1–5 of 125
305
11
h-index
9
h-index
9
h-index
5
h-index
5
h-index
1–5 of 305
149
University of Sheffield
Sheffield, United Kingdom
11 h-index
15 publications
1.6K citations

University of Warwick
Coventry, United Kingdom
8 h-index
17 publications
2.2K citations
Hong Kong Baptist University
Hong Kong, Hong Kong
4 h-index
6 publications
299 citations
Singapore Management University
Singapore, Singapore
4 h-index
2 publications
113 citations

University of Duisburg-Essen
Essen, Germany
4 h-index
7 publications
368 citations

The University of Melbourne
Melbourne, Australia
4 h-index
6 publications
510 citations
East China University of Science and Technology
Shanghai, China
3 h-index
7 publications
202 citations

Sichuan University
Chengdu, China
3 h-index
6 publications
168 citations
1–8 of 149
5 publications · 305 citations
6
h-index
Repository · 6 publications · 343 citations
6
h-index
5 publications · 164 citations
5
h-index
2 publications · 93 citations
4
h-index
4 publications · 73 citations
4
h-index
1–5