微博炒作话题识别与传播人群分析

项目名称： 微博炒作话题识别与传播人群分析

项目编号： No.61309007

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 刘琰

作者单位： 中国人民解放军信息工程大学

项目金额： 23万元

中文摘要： 以微博为代表的社会化媒体的出现改变了传统新闻传播的格局，各种力量的冲撞与失去引导的观点使得网络意见平台充斥着传播噪音，为虚假信息和片面观点的泛滥留下可乘之机，成为危害国家安全的隐患。如何从微博中敏锐发现人为炒作话题的传播迹象并定位炒作群体，是当前政府舆情监管面临的关键问题。本课题拟从微博舆情监控过程中涉及的炒作话题识别和炒作群体发现这两个关键环节着手，重点研究微博话题的传播特征建模、面向短文本微博的话题跟踪，以及策划性、特别是带有政治企图的炒作话题和参与群体的识别与定位等关键问题。本课题的研究将有望在一定程度上突破现有网络舆情监控中的一些关键问题，提高快速感知和真伪辨别的能力，为微博舆情引导和管控争取主动权，为舆论热点发现、非法煽动行为取证等提供技术支持，并为基于论坛、社交网络等其它社会化媒体的舆情预警研究提供技术参考。

中文关键词： 网络舆情监测；炒作话题；群体发现；账号角色分析；网络账号关联

英文摘要： As the representative of the social media, the micro-blog has changed traditional news dissemination pattern. The colliding among the various forces and the various ideas lead to a noisy network opinion platform. It is natural that people find ways to abuse them. As a result, various types of illegitimate use, such as spam, astroturf, and so on. Most of the illegitimate action will be the hidden trouble that is endangering national security. So, how to detect the speculation topic and locate the paritcipation crowds is the key problem faced by the government. Two key links involved in the process of public sentiment forewarning will be studied in this project, which is specutlation topic detection and participation crowds discovery in micro-blog. The key issues are modeling network topic dissemination, topic tracking in micro-blog, identificating and locating the deep-laid fake events and speculation accounts. This research is expected to surmount some critical issues in present emergency early warning to some extent, improve the ability of perceiving and discrimination and obtain initiative to guide and control public opinion of the micro-blog. The technique used in the research will provide technical support for the hot public opinion detection and illegal incitement evidence collection. Meanwhile, i

英文关键词： public sentiment detection；speculation topic；group discovery；account role analysis；network account association