Journal
ADVANCED DATA MINING AND APPLICATIONS, ADMA 2021, PT I
Volume 13087, Issue -, Pages 174-189Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-95405-5_13
Keywords
Rumor understanding; Social media analysis; Web mining
Categories
Funding
- ARC Discovery Early Career Researcher Award [DE200101465]
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This paper studies over 1000 rumors, including over 4 million tweets from about 3 million users. Through this research, we aim to gain a better understanding of the distribution, correlation, and propagation characteristics of rumors, as well as user behaviors and spatial-temporal characteristics.
Rumors are increasingly becoming a critical issue on theWeb 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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