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现代图书情报技术  2016, Vol. 32 Issue (11): 1-10    DOI: 10.11925/infotech.1003-3513.2016.11.01
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国内网络反恐研究的现状、问题和展望*
黄炜1,2(),余辉1,李岳峰1
1湖北工业大学经济与管理学院 武汉 430064
2武汉理工大学管理学院 武汉 430072
Review of Online Anti-terrorism Research in China
Huang Wei1,2(),Yu Hui1,Li Yuefeng1
1School of Economy and Management, Hubei University of Technology, Wuhan 430064, China
2School of Management, Wuhan University of Technology, Wuhan 430072, China
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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、ScienceDirect、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。

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黄炜
余辉
李岳峰
关键词 网络反恐网络舆情反恐预警网络结构    
Abstract

[Objective] This paper reviews the studies of online anti-terrorism in 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.

Key wordsOnline anti-terrorism    Internet public opinion    Anti-terrorism warning    Network structure
收稿日期: 2016-06-21     
基金资助:*本文系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
引用本文:   
黄炜,余辉,李岳峰. 国内网络反恐研究的现状、问题和展望*[J]. 现代图书情报技术, 2016, 32(11): 1-10.
Huang Wei,Yu Hui,Li Yuefeng. Review of Online Anti-terrorism Research in China. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2016.11.01.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.11.01
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