浅析大数据时代网络谣言传播的预测与阻断

Analysis of the Prediction and Blocking of Internet Rumors in the Era of Big Data

近年来,得益于大数据时代自媒体的发达,新媒体更新速度快,信息发布渠道多元,言论传播速度加快,网络谣言相伴而生。相比较于传统谣言,网络谣言具有传播速度更快、传播范围更广、社会危害更大的特点,同时网络谣言有着隐蔽性强、监管难度大的特征,难以阻止其发展。而目前我国对网络谣言的监管主要通过事先预防和事后处置,从而减小网络谣言的发生,但对于正在传播中的网络谣言,难以阻止。针对以上问题,本文对网络谣言的传播进行研究,通过大数据算法,预测谣言的传播路径和方式,及时阻断,从而营造一个良好的网络环境。

In recent years,thanks to the development of We media in the era of big data,new media updates quickly,information dissemination channels are diverse,and speech dissemination speed is accelerated,leading to the engenderer of Internet rumors.Compared to traditional rumors,online rumors have the characteristics of faster dissemination speed,wider dissemination range,and greater social harm.At the same time,online rumors have the characteristics of strong concealment and difficult supervision,making it difficult to prevent their development.At present,China's regulation of online rumors mainly relies on pre-prevention and post-disposal to reduce the occurrence of online rumors.However,for ongoing online rumors,it is difficult to prevent them.To address these issues,this article conducts research on the spread of online rumors,predicts their propagation paths and methods through big data algorithms,timely blocks them,and creates a good online environment.