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Article: Mining communities and their relationships in blogs: A study of online hate groups

TitleMining communities and their relationships in blogs: A study of online hate groups
Authors
KeywordsBlogs
Hate groups
Social network analysis
Web mining
Issue Date2007
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ijhcs
Citation
International Journal Of Human Computer Studies, 2007, v. 65 n. 1, p. 57-70 How to Cite?
AbstractBlogs, often treated as the equivalence of online personal diaries, have become one of the fastest growing types of Web-based media. Everyone is free to express their opinions and emotions very easily through blogs. In the blogosphere, many communities have emerged, which include hate groups and racists that are trying to share their ideology, express their views, or recruit new group members. It is important to analyze these virtual communities, defined based on membership and subscription linkages, in order to monitor for activities that are potentially harmful to society. While many Web mining and network analysis techniques have been used to analyze the content and structure of the Web sites of hate groups on the Internet, these techniques have not been applied to the study of hate groups in blogs. To address this issue, we have proposed a semi-automated approach in this research. The proposed approach consists of four modules, namely blog spider, information extraction, network analysis, and visualization. We applied this approach to identify and analyze a selected set of 28 anti-Blacks hate groups (820 bloggers) on Xanga, one of the most popular blog hosting sites. Our analysis results revealed some interesting demographical and topological characteristics in these groups, and identified at least two large communities on top of the smaller ones. The study also demonstrated the feasibility in applying the proposed approach in the study of hate groups and other related communities in blogs. © 2006 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/85835
ISSN
2015 Impact Factor: 1.476
2015 SCImago Journal Rankings: 0.815
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChau, Men_HK
dc.contributor.authorXu, Jen_HK
dc.date.accessioned2010-09-06T09:09:48Z-
dc.date.available2010-09-06T09:09:48Z-
dc.date.issued2007en_HK
dc.identifier.citationInternational Journal Of Human Computer Studies, 2007, v. 65 n. 1, p. 57-70en_HK
dc.identifier.issn1071-5819en_HK
dc.identifier.urihttp://hdl.handle.net/10722/85835-
dc.description.abstractBlogs, often treated as the equivalence of online personal diaries, have become one of the fastest growing types of Web-based media. Everyone is free to express their opinions and emotions very easily through blogs. In the blogosphere, many communities have emerged, which include hate groups and racists that are trying to share their ideology, express their views, or recruit new group members. It is important to analyze these virtual communities, defined based on membership and subscription linkages, in order to monitor for activities that are potentially harmful to society. While many Web mining and network analysis techniques have been used to analyze the content and structure of the Web sites of hate groups on the Internet, these techniques have not been applied to the study of hate groups in blogs. To address this issue, we have proposed a semi-automated approach in this research. The proposed approach consists of four modules, namely blog spider, information extraction, network analysis, and visualization. We applied this approach to identify and analyze a selected set of 28 anti-Blacks hate groups (820 bloggers) on Xanga, one of the most popular blog hosting sites. Our analysis results revealed some interesting demographical and topological characteristics in these groups, and identified at least two large communities on top of the smaller ones. The study also demonstrated the feasibility in applying the proposed approach in the study of hate groups and other related communities in blogs. © 2006 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ijhcsen_HK
dc.relation.ispartofInternational Journal of Human Computer Studiesen_HK
dc.subjectBlogsen_HK
dc.subjectHate groupsen_HK
dc.subjectSocial network analysisen_HK
dc.subjectWeb miningen_HK
dc.titleMining communities and their relationships in blogs: A study of online hate groupsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1071-5819&volume=65&spage=57&epage=70&date=2007&atitle=Mining+Communities+and+Their+Relationships+in+Blogs:+A+Study+of+Online+Hate+Groupsen_HK
dc.identifier.emailChau, M: mchau@hkucc.hku.hken_HK
dc.identifier.authorityChau, M=rp01051en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijhcs.2006.08.009en_HK
dc.identifier.scopuseid_2-s2.0-33751163289en_HK
dc.identifier.hkuros137550en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33751163289&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume65en_HK
dc.identifier.issue1en_HK
dc.identifier.spage57en_HK
dc.identifier.epage70en_HK
dc.identifier.eissn1095-9300-
dc.identifier.isiWOS:000242893400006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChau, M=7006073763en_HK
dc.identifier.scopusauthoridXu, J=8963142900en_HK
dc.identifier.citeulike899593-

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