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How Question Answering Technology Helps to Locate Malevolent Online Content

机译:问题如何应答技术有助于找到恶意的在线内容

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The inherent lack of control over the Internet content resulted in proliferation of online material that can be potentially detrimental. For example, the infamous "Anarchist Cookbook" teaching how to make weapons, home made bombs, and poisons, keeps re-appearing in various places. Some websites teach how to break into computer networks to steal passwords and credit card information. Law enforcement, security experts, and public watchdogs started to locate, monitor, and act when such malevolent content surfaces on the Internet. Since the resources of law enforcement are limited, it may take some time before potentially malevolent content is located, enough for it to disseminate and cause harm. The only practical way for searching the content of the Internet, available for law enforcement, security experts, and public watchdogs is by using a search engine, such as Google, AOL, MSN, etc. We have suggested and empirically evaluated an alternative technology (automated question answering or QA) capable of locating potentially malevolent online content. We have implemented a proof-of-concept prototype that is capable of finding web pages that provide the answers to given questions (e.g. "How to build a pipe bomb?"). Using students as subjects in a controlled experiment, we have empirically established that our QA prototype finds web pages that are more likely to provide answers to given questions than simple keyword search using Google. This suggests that QA technology can be a good replacement or an addition to the traditional keyword searching for the task of locating malevolent online content and, possibly, for a more general task of interactive online information exploration.
机译:对互联网内容的固有缺乏控制导致在线材料的增殖可能是可能有害的。例如,臭名昭着的“无政府内脏食谱”教学如何制作武器,家庭制作的炸弹和毒物,在各个地方都会保持重新出现。某些网站教授如何分解计算机网络以窃取密码和信用卡信息。当互联网上这种恶性内容表面时,律法执法,安全专家和公共看门狗开始定位,监控和采取行动。由于执法的资源有限,因此可能需要一些时间在可能的恶毒内容,足以使其传播和造成伤害。搜索互联网内容的唯一实用方式,可用于执法,安全专家和公共看门狗是通过使用搜索引擎,例如Google,AOL,MSN等。我们建议和经验评估了替代技术(自动问题应答或QA)能够定位可能恶毒的在线内容。我们已经实施了概念验证原型,能够找到提供给给定问题的答案的网页(例如,“如何建造管炸弹?”)。在受控实验中使用学生作为主题,我们已经经过经验确定我们的QA原型找到了比使用Google简单关键字搜索提供给给定答案的网页。这表明QA技术可以是一个很好的替代或传统关键字的补充,用于寻找摆动恶毒在线内容的任务,并且可能是为了更普遍的互动在线信息探索任务。

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