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- W2418347253 abstract "In this study, we collect a large number of rumors from Sina Weibo, and analyze them from different perspectives. We study the influence of rumors from a quantitative perspective, as well as their beginning and ending. From a semantic analysis perspective, we manually classify the rumors into five categories based on the semantic information. Then, we train a classifier to classify the rumors automatically. From a timing perspective, we manually classify the rumors into four categories based on the forward trends. Then, we find the propagation tendency of rumors. Finally, we propose a rumor-recognition system, which combines machine intelligence and swarm intelligence." @default.
- W2418347253 created "2016-06-24" @default.
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- W2418347253 date "2015-12-01" @default.
- W2418347253 modified "2023-09-24" @default.
- W2418347253 title "中文社交媒体谣言统计语义分析" @default.
- W2418347253 doi "https://doi.org/10.1360/n112015-00243" @default.
- W2418347253 hasPublicationYear "2015" @default.
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