A Human-Machine Collaborative System for Identifying Rumors on Twitter

Author(s)
Vosoughi, Soroush; Roy, Deb K
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Abstract
The spread of rumors on social media, especially in time-sensitive situations such as real-world emergencies, can have harmful effects on individuals and society. In this work, we developed a human-machine collaborative system on Twitter for fast identification of rumors about real-world events. The system reduces the amount of information that users have to sift through in order to identify rumors about real-world events by several orders of magnitude.
Date issued
2015-11
URI
http://hdl.handle.net/1721.1/101248
Department
Massachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Journal
Proceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Vosoughi, Soroush, and Deb Roy. “A Human-Machine Collaborative System for Identifying Rumors on Twitter.” 2015 IEEE International Conference on Data Mining Workshop (ICDMW) (November 2015).
Version: Author's final manuscript
ISBN
978-1-4673-8493-3
978-1-4673-8492-6
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