Prominent Features of Rumor Propagation in Online Social Media

The problem of identifying rumors is of practical importance especially in online social networks, since information can diffuse more rapidly and widely than the offline counterpart. In this paper, we identify characteristics of rumors by examining the following three aspects of diffusion: temporal,...

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Bibliographic Details
Published inProceedings (IEEE International Conference on Data Mining) pp. 1103 - 1108
Main Authors Kwon, Sejeong, Cha, Meeyoung, Jung, Kyomin, Chen, Wei, Wang, Yajun
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.12.2013
Subjects
Adaptation models
Classification
Conferences
Data mining
Diffusion
Diffusion Network
Electric shock
Linguistics
Mathematical model
Online
Pragmatics
Psychology
Rumor
Sentiment Analysis
Social Media
Social networks
Temporal logic
Time Series
Time series analysis
Twitter
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Summary:The problem of identifying rumors is of practical importance especially in online social networks, since information can diffuse more rapidly and widely than the offline counterpart. In this paper, we identify characteristics of rumors by examining the following three aspects of diffusion: temporal, structural, and linguistic. For the temporal characteristics, we propose a new periodic time series model that considers daily and external shock cycles, where the model demonstrates that rumor likely have fluctuations over time. We also identify key structural and linguistic differences in the spread of rumors and non-rumors. Our selected features classify rumors with high precision and recall in the range of 87% to 92%, that is higher than other states of the arts on rumor classification.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
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SourceType-Conference Papers & Proceedings-2
ISSN:1550-4786
DOI:10.1109/ICDM.2013.61