Abstract: 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.
http://research.microsoft.com/en-us/people/weic/icdm13-rumors.pdf
Recent Comments