Detect rumors using time series of social context information on microblogging websites
Automatically identifying rumors from online social media especially microblogging websites is an important research issue. Most of existing work for rumor detection focuses on modeling features related to microblog contents, users and propagation patterns, but ignore the importance of the variation...
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Main Authors: | MA, Jing, GAO, Wei, WEI, Zhongyu, LU, Yueming, WONG, Kam-Fai |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2015
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4572 https://ink.library.smu.edu.sg/context/sis_research/article/5575/viewcontent/p1751_ma.pdf |
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Institution: | Singapore Management University |
Language: | English |
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