Dark web forums portal: Searching and analyzing jihadist forums

Yulei Zhang, Shuo Zeng, Li Fan, Yan Dang, Catherine A. Larson, Hsinchun Chen
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引用次数: 46

Abstract

With the advent of Web 2.0, the Web is acting as a platform which enables end-user content generation. As a major type of social media in Web 2.0, Web forums facilitate intensive interactions among participants. International Jihadist groups often use Web forums to promote violence and distribute propaganda materials. These Dark Web forums are heterogeneous and widely distributed. Therefore, how to access and analyze the forum messages and interactions among participants is becoming an issue. This paper presents a general framework for Web forum data integration. Specifically, a Web-based knowledge portal, the Dark Web Forums Portal, is built based on the framework. The portal incorporates the data collected from different international Jihadist forums and provides several important analysis functions, including forum browsing and searching (in single forum and across multiple forums), forum statistics analysis, multilingual translation, and social network visualization. Preliminary results of our user study show that the Dark Web Forums Portal helps users locate information quickly and effectively. Users found the forum statistics analysis, multilingual translation, and social network visualization functions of the portal to be particularly valuable.
暗网论坛门户:搜索和分析圣战论坛
随着Web 2.0的出现,Web正在充当一个支持最终用户生成内容的平台。作为Web 2.0社会媒体的主要类型,Web论坛促进了参与者之间的密集互动。国际圣战组织经常利用网络论坛宣传暴力和分发宣传材料。这些暗网论坛种类繁多,分布广泛。因此,如何访问和分析论坛信息以及参与者之间的互动成为一个问题。本文提出了一个Web论坛数据集成的通用框架。具体来说,一个基于Web的知识门户,暗网论坛门户,是基于该框架建立的。该门户网站整合了从不同的国际圣战论坛收集的数据,并提供了几个重要的分析功能,包括论坛浏览和搜索(在单个论坛和跨多个论坛)、论坛统计分析、多语言翻译和社交网络可视化。我们用户研究的初步结果表明,暗网论坛门户网站可以帮助用户快速有效地定位信息。用户发现该门户网站的论坛统计分析、多语种翻译和社交网络可视化功能特别有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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