TY - GEN
T1 - Identification of extremist videos in online video sharing sites
AU - Tianjun, Fu
AU - Huang, Chun Neng
AU - Hsinchun, Chen
PY - 2009
Y1 - 2009
N2 - Web 2.0 has become an effective grassroots communication platform for extremists to promote their ideas, share resources, and communicate among each other. As an important component of Web 2.0, online video sharing sites such as YouTube and Google video have also been utilized by extremist groups to distribute videos. This study presented a framework for identifying extremist videos in online video sharing sites by using user-generated text content such as comments, video descriptions, and titles without downloading the videos. Text features including lexical features, syntactic features and content specific features were first extracted. Then Information Gain was used for feature selection, and Support Vector Machine was deployed for classification. The exploratory experiment showed that our proposed framework is effective for identifying online extremist videos, with the F-measure as high as 82%.
AB - Web 2.0 has become an effective grassroots communication platform for extremists to promote their ideas, share resources, and communicate among each other. As an important component of Web 2.0, online video sharing sites such as YouTube and Google video have also been utilized by extremist groups to distribute videos. This study presented a framework for identifying extremist videos in online video sharing sites by using user-generated text content such as comments, video descriptions, and titles without downloading the videos. Text features including lexical features, syntactic features and content specific features were first extracted. Then Information Gain was used for feature selection, and Support Vector Machine was deployed for classification. The exploratory experiment showed that our proposed framework is effective for identifying online extremist videos, with the F-measure as high as 82%.
KW - Extremist video
KW - Feature selection
KW - Video classification
KW - Video sharing
KW - Web 2.0
UR - http://www.scopus.com/inward/record.url?scp=70350061915&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350061915&partnerID=8YFLogxK
U2 - 10.1109/ISI.2009.5137295
DO - 10.1109/ISI.2009.5137295
M3 - Conference contribution
AN - SCOPUS:70350061915
SN - 9781424441730
T3 - 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
SP - 179
EP - 181
BT - 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
T2 - 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Y2 - 8 June 2009 through 11 June 2009
ER -