Rumor Detection over Varying Time Windows

@inproceedings{Kwon2017RumorDO,
  title={Rumor Detection over Varying Time Windows},
  author={Sejeong Kwon and Meeyoung Cha and Kyomin Jung},
  booktitle={PloS one},
  year={2017}
}
This study determines the major difference between rumors and non-rumors and explores rumor classification performance levels over varying time windows-from the first three days to nearly two months. A comprehensive set of user, structural, linguistic, and temporal features was examined and their relative strength was compared from near-complete date of Twitter. Our contribution is at providing deep insight into the cumulative spreading patterns of rumors over time as well as at tracking the… CONTINUE READING
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