微信息舆情的主动介入导引模式

针对微信息舆情所面临的扭曲心态多发、公信力受损、技术死角多等严峻问题,在大数据条件下,利用分布式网络的MapReduce架构设计出虚拟式蜜罐防御模型和相关检测算法,实现监管角色成功介入,能够主动导引用户兴趣方向并预测新舆情倾向,并提出建设舆情监测适用机制的有效措施.结果表明:蜜罐式主动防御系统具有显著的导引功效,检验效率较高,针对性较强,能获得较好的监测效果,加强微信息舆情的主动性防范能力,提高舆情管理部门的公信力和舆情调节控制能力,为微信息监管提供重要的支持.

Active intervention guidance mode of micro-message public opinion

Aiming at the fact that the micro-message public opinion is facing such serious problems as multiple distorted mentality, damaged credibility and many technical blind angles, under the condition of big data, the virtual honey-pot defense model and correlation detection algorithm were designed with the MapReduce framework based on the distributed network, and the intervention of regulatory role was successfully achieved, which could actively guide the interest direction of users and predict new public opinion tendency. In addition, the effective measures for the construction of public opinion monitoring and application mechanism were proposed. The results show that the honey-pot active defense system has significant guidance function, high detection efficiency and strong pertinence. The active defense system can obtain good monitoring effect, strengthen the initiative prevention capacity for the micro-message public opinion, improve the credibility of public opinion management department and the regulation control capacity of public opinion, and provide important support for the micro-message regulation.