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

Title:
Mining communities and their relationships in blogs : A study of online hate groups
Authors:
CHAU, Michael, XU, Jennifer
Source:
Information security in the knowledge economyInternational journal of human-computer studies. 65(1):57-70
Publisher Information:
London: Elsevier, 2007.
Publication Year:
2007
Physical Description:
print, 1 p.3/4
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Psychology, psychopathology, psychiatry, Psychologie, psychopathologie, psychiatrie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Traitement des données. Listes et chaînes de caractères, Data processing. List processing. Character string processing, Gestion des mémoires et des fichiers (y compris la protection et la sécurité des fichiers), Memory and file management (including protection and security), Analyse circuit, Network analysis, Análisis circuito, Analyse information, Information analysis, Analyse sociologique, Social analysis, Análisis sociológico, Expression émotionnelle, Expressed emotion, Expresión emoción, Extraction information, Information extraction, Extracción información, Faisabilité, Feasibility, Practicabilidad, Fouille donnée, Data mining, Busca dato, Interface utilisateur, User interface, Interfase usuario, Internet, Réseau social, Social network, Red social, Réseau web, World wide web, Red WWW, Site Web, Web site, Sitio Web, Structure document, Document structure, Estructura documental, Système réparti, Distributed system, Sistema repartido, Sécurité informatique, Computer security, Seguridad informatica, Topologie, Topology, Topología, Visualisation, Visualization, Visualización, Communauté répartie, Web community, Comunidad repartido, Blogs, Hate groups, Social network analysis, Web mining
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Business, The University of Hong Kong, Pokfulam, Hong-Kong
Department of Computer Information Systems, Bentley College, Waltham, MA 02452, United States
ISSN:
1071-5819
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18357101
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18357101
Database:
PASCAL Archive

Further Information

Blogs, 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.