DocumentCode
1173891
Title
US domestic extremist groups on the Web: link and content analysis
Author
Zhou, Yilu ; Reid, Edna ; Qin, Jialun ; Chen, Hsinchun ; Lai, Guanpi
Author_Institution
Dept. of Manage. Inf. Syst., Arizona Univ., Tucson, AZ, USA
Volume
20
Issue
5
fYear
2005
Firstpage
44
Lastpage
51
Abstract
Although US domestic extremist and hate groups might not be as well-known as some international groups, they nevertheless pose a significant threat to homeland security. Increasingly, these groups are using the Internet as a tool for facilitating recruitment, linking with other extremist groups, reaching global audiences, and spreading hate materials that encourage violence and terrorism. A study of semiautomated methodologies to capture and organize domestic extremist Web site data revealed interorganizational structures and cluster affinities that coincided with both domain expert knowledge and earlier manual research.
Keywords
Internet; information resources; social aspects of automation; social sciences computing; terrorism; US domestic extremist groups; content analysis; domain expert knowledge; domestic extremist Web site data; hate groups; homeland security; interorganizational structures; link analysis; terrorism; violence; Data analysis; Data visualization; Discussion forums; Internet; Joining processes; Merchandise; Monitoring; Pattern analysis; Recruitment; Terrorism; Dark Web; Web content analysis; Web harvesting; Web link analysis; Web mining; data visualization; decision support systems; terrorism; text mining;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2005.96
Filename
1511999
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