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Conference Paper: Mining Communities of Bloggers: A Case Study on Cyber-hate
Title | Mining Communities of Bloggers: A Case Study on Cyber-hate |
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Authors | |
Keywords | mining data mining network topology data and knowledge visualization security |
Issue Date | 2006 |
Citation | The International Conference on Information Systems (ICIS 2006), Milwaukee, WI, 2006 How to Cite? |
Abstract | Blogs, or Weblogs, have become increasingly popular in recent years. Research has found that
racists and hate groups exist in communities of bloggers. As these communities allow hate groups
to spread their ideologies and even advocate hate crimes, it is important to study the structure and
behavior of these communities. In this study, we analyzed the blogs of 28 anti-black hate groups
on Xanga, a popular blog hosting site, using a semi-automated framework that includes blog
spidering, information extraction, network analysis, and visualization. Our findings suggested that
bloggers formed communities through subscription, comment, and group co-membership
relationships. Subscription and commenting relationships facilitated the communication between
bloggers and could help spread information, propagandas, and ideologies faster. In addition, we
compared our findings with previous studies and found some interesting similarities and
differences. Overall, we believe our research on online hate groups in the blogosphere is timely
and important to the security of our society, and several future research directions are suggested
in the paper. |
Persistent Identifier | http://hdl.handle.net/10722/112241 |
DC Field | Value | Language |
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dc.contributor.author | Xu, J | en_HK |
dc.contributor.author | Chau, MCL | en_HK |
dc.date.accessioned | 2010-09-26T03:23:41Z | - |
dc.date.available | 2010-09-26T03:23:41Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.citation | The International Conference on Information Systems (ICIS 2006), Milwaukee, WI, 2006 | - |
dc.identifier.uri | http://hdl.handle.net/10722/112241 | - |
dc.description.abstract | Blogs, or Weblogs, have become increasingly popular in recent years. Research has found that racists and hate groups exist in communities of bloggers. As these communities allow hate groups to spread their ideologies and even advocate hate crimes, it is important to study the structure and behavior of these communities. In this study, we analyzed the blogs of 28 anti-black hate groups on Xanga, a popular blog hosting site, using a semi-automated framework that includes blog spidering, information extraction, network analysis, and visualization. Our findings suggested that bloggers formed communities through subscription, comment, and group co-membership relationships. Subscription and commenting relationships facilitated the communication between bloggers and could help spread information, propagandas, and ideologies faster. In addition, we compared our findings with previous studies and found some interesting similarities and differences. Overall, we believe our research on online hate groups in the blogosphere is timely and important to the security of our society, and several future research directions are suggested in the paper. | - |
dc.language | eng | en_HK |
dc.relation.ispartof | ICIS 2006 Proceedings | en_HK |
dc.subject | mining | - |
dc.subject | data mining | - |
dc.subject | network topology | - |
dc.subject | data and knowledge visualization | - |
dc.subject | security | - |
dc.title | Mining Communities of Bloggers: A Case Study on Cyber-hate | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Chau, MCL: mchau@business.hku.hk | en_HK |
dc.identifier.authority | Chau, MCL=rp01051 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.scopus | eid_2-s2.0-80051571630 | - |
dc.identifier.hkuros | 137584 | en_HK |