DocumentCode :
3739137
Title :
Newsworthy Rumor Events: A Case Study of Twitter
Author :
Armineh Nourbakhsh;Xiaomo Liu;Sameena Shah;Rui Fang;Mohammad Mahdi Ghassemi;Quanzhi Li
fYear :
2015
Firstpage :
27
Lastpage :
32
Abstract :
Rumor events differ in how and where they originate, what topics they address, the emotions they invoke, and how they engage their audience. In this paper, we study various semantic aspects of rumors and analyze the motivational and functional roles they play. Using Twitter as a case study, we develop a framework to characterize rumors. Our characterization covers intrinsic and extrinsic factors, tweet and event-level, as well as usage analysis. We determine the roles various user-types play and analyze rumor propagation from both a re-tweeting and burstiness perspective.
Keywords :
"Twitter","Media","Data collection","Facebook","Tagging","Accidents","Conferences"
Publisher :
ieee
Conference_Titel :
Data Mining Workshop (ICDMW), 2015 IEEE International Conference on
Electronic_ISBN :
2375-9259
Type :
conf
DOI :
10.1109/ICDMW.2015.200
Filename :
7395648
Link To Document :
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