Paper Info
Title
A Human-Machine Collaborative System for Identifying Rumors on Twitter.
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.
Year
DOI
Venue
2015
10.1109/ICDMW.2015.221
ICDM Workshops
Keywords
Field
DocType
Rumor,Twitter,human-machine
Internet privacy,Human–machine system,World Wide Web,Social media,Computer science,Rumor,Bandwidth (signal processing),Artificial intelligence,Machine learning
Conference
Citations 
PageRank 
References 
4
0.43
4
Authors
2
Name
Order
Citations
PageRank
Soroush Vosoughi1394.34
Deb Roy2103392.10