摘要
【目的】总结国内网络反恐研究的现状,发现不足并提出未来应对方向。【文献范围】以"网络反恐"为主题在中国知网、万方数据、Web of Science、Science Direct、Engineering Village数据库中选取自2002年以来的期刊、图书文献共60篇。【方法】通过文献统计分析方法,分别从反恐数据分析、舆论传播、预警与处置三个方面分析网络反恐问题。【结果】国内网络反恐研究的现状是以恐怖数据的收集和分析为基础,通过涉恐言论、舆情分析实现网络反恐,存在反恐大数据分析能力不足、非文本数据匹配技术不成熟、网络反恐相关法律和教育需进一步完善的问题。【局限】文献资料来源以学术期刊和图书为主,对于实际反恐中资料的收集不够充分。【结论】网络反恐的相关研究还处于发展阶段,需要从技术、管理和法规等多方面协调共同开展,相关的宣传和执行力度均应加强,特别要加快与大数据技术的整合。
[Objective] This paper reviews the studies of online anti-terrorism ill China and then identifies their limitations as well as future research trends. [Coverage] We retrieved 60 Chinese.journal articles and books from CNKI Wanfang, Web of Science, ScienceDirect and Engineering Village databases, which were published after 2002 and had the topic of ＂Online Anti-terrorism＂. [Methods] We examined the Chinese literature from the perspectives of anti-terrorism data analysis, public opinion dissemination, as well as early warning and crisis response mechanisms. [Results] Most of the Chinese online anti-terrorism research collected terrorism data and then analyzed terrorism- related remarks and public opinion. However, the big data processing and non-textual data analysis techniques adopted by these studies were not sufficient. Meanwhile, the online anti-terrorism laws and education need to be improved. [Limitations] We only collected the target literature from scholarly journals and books, and should have more data from the real world counter-terrorism cases. [Conclusions] Online anti-terrorism research in China is still developing, which requires coordinated support from technology, management and regulation sections to promote its advancement and integration with the big data.
出处
《现代图书情报技术》
CSSCI
2016年第11期1-10,共10页
New Technology of Library and Information Service
基金
国家自然科学基金项目"微博环境下实时主动感知网络舆情事件的多核方法研究"(项目编号:71303075)和国家自然科学基金项目"大数据环境下基于特征本体学习的无监督文本分类方法研究"(项目编号:71571064)的研究成果之一
关键词
网络反恐
网络舆情
反恐预警
网络结构
Online anti-terrorism
Internet public opinion
Anti-terrorism warning
Network structure
