Detecting Jihadist Messages on Twitter
Detecting Jihadist Messages on Twitter
复制标题
检测 Twitter 上的圣战消息
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Nico Prucha
中科院分区：
文献类型：
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作者：
M. Ashcroft;A. Fisher;Lisa Kaati;Enghin Omer;Nico Prucha
阻止这些组织的最常见方法之一是，一旦发现传播宣传的账户，就封号。这种方法需要人工分析人员手动阅读和分析社交媒体上的大量信息。尽管我们的结果是初步的，还需要进行更多的测试，但我们相信，结果表明，一种自动化的方法可以帮助分析人员在工作中检测社交媒体上的激进内容，这是一个很有前途的发展方向。应该指出的是，自动检测自由基含量的方法只能作为人类分析人员工作的辅助工具。
Jihadist groups such as ISIS are spreading online propaganda using various forms of social media such as Twitter and YouTube. One of the most common approaches to stop these groups is to suspend accounts that spread propaganda when they are discovered. This approach requires that human analysts manually read and analyze an enormous amount of information on social media. In this work we make a first attempt to automatically detect messages released by jihadist groups on Twitter. We use a machine learning approach that classifies a tweet as containing material that is supporting jihadists groups or not. Even tough our results are preliminary and more tests needs to be carried out we believe that results indicate that an automated approach to aid analysts in their work with detecting radical content on social media is a promising way forward. It should be noted that an automatic approach to detect radical content should only be used as a support tool for human analysts in their work.