Automatic detection of rumor on Sina Weibo
Shandong University · York University
Abstract
The problem of gauging information credibility on social networks has received considerable attention in recent years. Most previous work has chosen Twitter, the world's largest micro-blogging platform, as the premise of research. In this work, we shift the premise and study the problem of information credibility on Sina Weibo, China's leading micro-blogging service provider. With eight times more users than Twitter, Sina Weibo is more of a Facebook-Twitter hybrid than a pure Twitter clone, and exhibits several important characteristics that distinguish it from Twitter. We collect an extensive set of microblogs which have been confirmed to be false rumors based on information from the official rumor-busting…
Citation impact
- FWCI
- 37.97
- Percentile
- 100%
- References
- 15
Authors
4Topics & keywords
- Rumor
- Microblogging
- Computer science
- Credibility
- Social media
- Premise
- Classifier (UML)
- Set (abstract data type)