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- W4366722710 abstract "Rumors spread rapidly across online social media and may cause severe economic loss and destabilize society. Considering different people are susceptible to different rumors, this paper proposed PRRM, a personalized rumor refutation mechanism based on individual interest and background knowledge. PRRM develop a regular rumor propagation pattern to characterize rumor spreading. Then we design a reverse pattern querying technique to mine the regular pattern and a regular pattern matching algorithm to identify the people who are more susceptible to given rumors. Using real-life Sina Weibo datasets, we experimentally verify the efficiency and effectiveness of our methods." @default.
- W4366722710 created "2023-04-24" @default.
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- W4366722710 date "2023-03-03" @default.
- W4366722710 modified "2023-10-16" @default.
- W4366722710 title "Personalized Rumor Refutation Through Graph Regular Pattern" @default.
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- W4366722710 doi "https://doi.org/10.1109/icbda57405.2023.10104992" @default.
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