Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings

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Author(s)
Chau, Xuan Truong Du
Nguyen, Thanh Tam
Jo, Jun
Nguyen, Quoc Viet Hung
Griffith University Author(s)
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Li, B

Yue, L

Jiang, J

Chen, W

Li, X

Long, G

Fang, F

Yu, H

Date
2022
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Sydney, Australia

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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.

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Lecture Notes in Computer Science

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13087

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ARC

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DE200101465

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© 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.

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Subject

Data management and data science

Information and computing sciences

Science & Technology

Computer Science, Artificial Intelligence

Computer Science, Information Systems

Computer Science, Interdisciplinary Applications

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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