Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings
File version
Accepted Manuscript (AM)
Author(s)
Nguyen, Thanh Tam
Jo, Jun
Nguyen, Quoc Viet Hung
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Li, B
Yue, L
Jiang, J
Chen, W
Li, X
Long, G
Fang, F
Yu, H
Date
Size
File type(s)
Location
Sydney, Australia
License
Abstract
Rumors are increasingly becoming a critical issue on the Web threatening democracy, economics, and society on a global scale. With the advance of social media networks, people are sharing content in an unprecedented scale. This makes social platforms such as microblogs an ideal place for spreading rumors. Although rumors may have a severe impact in the real world, there is not enough large-scale study regarding the characteristics of rumors. In this paper, by studying more than 1000 rumors with over 4 million tweets from about 3 million users, we aim to provide several insights in order to understand the distribution, correlation, and propagation of rumors, especially user behaviors, spatial and temporal characteristics. All the rumor data are publicly available.
Journal Title
Conference Title
Lecture Notes in Computer Science
Book Title
Edition
Volume
13087
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
ARC
Grant identifier(s)
DE200101465
Rights Statement
Rights Statement
© 2022 Springer Nature Switzerland AG. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
Item Access Status
Note
Access the data
Related item(s)
Subject
Data management and data science
Information and computing sciences
Science & Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Persistent link to this record
Citation
Chau, XTD; Nguyen, TT; Jo, J; Nguyen, QVH, Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings, Lecture Notes in Computer Science, 2022, 13087, pp. 174-189