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LanguageTool based University rumor detection on Sina Weibo

机译:基于Languageol的大学谣言检测在新浪微博上

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It's of great significance of understanding and controlling the micro-blog world of college students in the dissemination of false information, sensitive information, as well as timely and reasonable guidance, the implementation of the coordination of the governance of micro-blog rumors. After analyzing the text syntactical structure features of online rumors, it presents a simple way of rumor detection based on LanguageTool. The experiment on Sina Weibo shows that more than half of the rumors can be detected with only 5 main types of rumor rules.
机译:这对大学生微博世界的理解具有重要意义,在传播虚假信息,敏感信息,及时合理的指导下,实施微博谣言治理的协调。在分析在线谣言的文本句法结构特征后,它提出了一种基于angumageTool的谣言检测的简单方法。新浪微博的实验表明,只有5种主要类型的谣言规则,可以检测到超过一半的谣言。

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