中文社交媒体谣言统计语义分析
摘要
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.
引用本文（GB/T 7714）
Maosong Sun, Cunchao Tu, Le Zhang, 等. 中文社交媒体谣言统计语义分析[J]. Scientia Sinica Informationis, 2015.
引文网络
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