摘要
随着网络的普及,越来越多的人能够在网上自由地发布信息,但这些信息并非总是真实的。网络谣言传播速度快,范围广,如果不加以控制,负面影响巨大。然而,谣言往往难以识别,特别是完全依靠人力,不仅费时且费力。论文旨在总结谣言识别方面已有的文献成果,从特征提取、识别方法构建两个角度,总结分析了当前的主流识别方法,进而对网络谣言进行防范。最后,论文给出了未来的研究方向。
With the popularity of-lnternet, an increasing number of people post online information freely. But not all these information is necessarily true. With the rapidity and width of intemet rumor circulation, if not being controlled properly, the negative impact is enormous. It is time-consuming and laborious if the rumor identification depends solely on men's efforts. The paper summarizes the results in rumor identification from previous studies. Further, to safeguard against online rumors, both feature extraction and identification method construction are adopted by analyzing the mainstream identification methods. In conclusion, the paper presents possibilities for future studies.
出处
《网络空间安全》
2016年第11期9-12,共4页
Cyberspace Security
关键词
网络谣言
特征提取
识别算法
intemet rumors
feature extraction
identification algorithm