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Использование компьютерных программ, основанных на лингвистическом анализе ложной информации (обзор зарубежного исследования)
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ХОЛЕВЧУК А.Г.. - : Общество с ограниченной ответственностью «Коллоквиум», 2015
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Интерактивная компьютерная программа по развитию описательной связной речи для детей и взрослых с речевой патологией
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ИВАНОВА НАТАЛИЯ НИКОЛАЕВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего образования «Удмуртский государственный университет», 2015
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Non-linear Second order Abstract Categorial Grammars and deletion
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In: NLCS 2015: Natural Language and Computer Science ; https://hal.archives-ouvertes.fr/hal-01251127 ; NLCS 2015: Natural Language and Computer Science, Makoto Kanazawa, 2015, Kyoto, Japan (2015)
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The Impact of the Use of Dynamic Software as a Teaching Tool in Geometry
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Program Design: The Learner Path
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In: Research Briefs and Case Studies (2015)
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Program Design: Volunteering in a Digital Literacy Program
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In: Research Briefs and Case Studies (2015)
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Program Design: Tutor-Facilitated Digital Literacy Acquisition
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In: Research Briefs and Case Studies (2015)
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Program Design: Learning Digital Skills in a Corrections Setting
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In: Research Briefs and Case Studies (2015)
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Program Design: Learning Digital Skills in a Time-limited Program
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In: Research Briefs and Case Studies (2015)
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Exploring Social Meaning in Online Bilingual Text through Social Network Analysis
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In: DTIC (2015)
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Crowdsourcing Intelligence to Combat Terrorism: Harnessing Bottom-Up Collection to Prevent Lone-Wolf Terror Attacks
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In: DTIC (2015)
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Abstract:
U.S. officials have acknowledged that attackers of the lone-wolf and isolated-cell organizational type are on the rise and now pose a greater threat than major coordinated actions. Traditional intelligence methods, using a top-down approach with an emphasis on signals intelligence, are ill-equipped to identify and prevent terrorists using lone-wolf tactics. Crowdsourcing, as a problem-solving technique, is a relatively new idea but has shown great promise in tackling issues similar to the identification of lone-wolf terrorists. At its core, crowdsourcing is a method for thousands or even millions of people to contribute their knowledge, expertise, or skills towards a unified task. Done correctly, it has produced results unachievable by traditional tasking of humans or computers. This thesis identifies how the signals surrounding lone-wolf attacks are different and more subtle in nature from those mounted by organized terror groups. In turn, the thesis examines the potential benefits of crowdsourcing intelligence in order to strengthen the U.S. intelligence community s ability to approach this emerging problem of lone-wolf terrorism. In short, this thesis proposes that the U.S. intelligence community harness the power of U.S. citizens to help prevent identify the subtle indictors presented by lone-wolf terrorists in order to prevent lone-wolf terrorist attacks.
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Keyword:
*COLLABORATIVE TECHNIQUES; *COMMUNITY RELATIONS; *COUNTERTERRORISM; *ONLINE COMMUNITIES; *PREVENTION; BIG DATA; CITIZEN PARTICIPATION; CIVILIAN POPULATION; COMPUTER PROGRAMS; CROWDSOURCING; DATA MINING; DEMOGRAPHY; DISTRIBUTED NETWORKS; DOMESTIC TERRORISM; GROUP DYNAMICS; HUMAN INTELLIGENCE; IDENTIFICATION; INFORMATION EXCHANGE; INTERNET; LONE-WOLF; Military Intelligence; Psychology; SIGINT(SIGNALS INTELLIGENCE); SOCIAL PSYCHOLOGY; Sociology and Law; SOCMINT(SOCIAL MEDIA INTELLIGENCE); STATISTICAL ANALYSIS; THESES; THREATS
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URL: http://www.dtic.mil/docs/citations/ADA620622 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA620622
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Auditory Perception in an Open Space: Detection and Recognition
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In: DTIC (2015)
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Learning to Understand Natural Language with Less Human Effort
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In: DTIC (2015)
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Automated Essay Scoring: A Literature Review
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In: Working Papers in Applied Linguistics and TESOL, Vol 11, Iss 2, Pp 40-64 (2015) (2015)
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