Sentiment and affect analysis of Dark Web forums: measuring radicalization on the internet

Hsinchun Chen

doi:10.1109/ISI.2008.4565038

Sentiment and affect analysis of Dark Web forums: measuring radicalization on the internet

Hsinchun Chen

Management Information Systems

Research output: Contribution to conference › Paper › peer-review

31 Scopus citations

Abstract

Dark Web forums are heavily used by extremist and terrorist groups for communication, recruiting, ideology sharing, and radicalization. These forums often have relevance to the Iraqi insurgency or Al-Qaeda and are of interest to security and intelligence organizations. This paper presents an automated approach to sentiment and affect analysis of selected radical international Jihadist Dark Web forums. The approach incorporates a rich textual feature representation and machine learning techniques to identify and measure the sentiment polarities and affect intensities expressed in forum communications. The results of sentiment and affect analysis performed on two large-scale Dark Web forums are presented, offering insight into the communities and participants.

Original language	English (US)
Pages	104-109
Number of pages	6
DOIs	https://doi.org/10.1109/ISI.2008.4565038
State	Published - Sep 22 2008
Event	IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan, Province of China Duration: Jun 17 2008 → Jun 20 2008

Other

Other	IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
Country/Territory	Taiwan, Province of China
City	Taipei
Period	6/17/08 → 6/20/08

Keywords

Affect analysis
Dark web forums
Sentiment analysis

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

Access to Document

10.1109/ISI.2008.4565038

Cite this

@conference{44328d5a0ae0464ab5271a38862c2a35,

title = "Sentiment and affect analysis of Dark Web forums: measuring radicalization on the internet",

abstract = "Dark Web forums are heavily used by extremist and terrorist groups for communication, recruiting, ideology sharing, and radicalization. These forums often have relevance to the Iraqi insurgency or Al-Qaeda and are of interest to security and intelligence organizations. This paper presents an automated approach to sentiment and affect analysis of selected radical international Jihadist Dark Web forums. The approach incorporates a rich textual feature representation and machine learning techniques to identify and measure the sentiment polarities and affect intensities expressed in forum communications. The results of sentiment and affect analysis performed on two large-scale Dark Web forums are presented, offering insight into the communities and participants.",

keywords = "Affect analysis, Dark web forums, Sentiment analysis",

author = "Hsinchun Chen",

year = "2008",

month = sep,

day = "22",

doi = "10.1109/ISI.2008.4565038",

language = "English (US)",

pages = "104--109",

note = "IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 ; Conference date: 17-06-2008 Through 20-06-2008",

}

TY - CONF

T1 - Sentiment and affect analysis of Dark Web forums

T2 - IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008

AU - Chen, Hsinchun

PY - 2008/9/22

Y1 - 2008/9/22

N2 - Dark Web forums are heavily used by extremist and terrorist groups for communication, recruiting, ideology sharing, and radicalization. These forums often have relevance to the Iraqi insurgency or Al-Qaeda and are of interest to security and intelligence organizations. This paper presents an automated approach to sentiment and affect analysis of selected radical international Jihadist Dark Web forums. The approach incorporates a rich textual feature representation and machine learning techniques to identify and measure the sentiment polarities and affect intensities expressed in forum communications. The results of sentiment and affect analysis performed on two large-scale Dark Web forums are presented, offering insight into the communities and participants.

AB - Dark Web forums are heavily used by extremist and terrorist groups for communication, recruiting, ideology sharing, and radicalization. These forums often have relevance to the Iraqi insurgency or Al-Qaeda and are of interest to security and intelligence organizations. This paper presents an automated approach to sentiment and affect analysis of selected radical international Jihadist Dark Web forums. The approach incorporates a rich textual feature representation and machine learning techniques to identify and measure the sentiment polarities and affect intensities expressed in forum communications. The results of sentiment and affect analysis performed on two large-scale Dark Web forums are presented, offering insight into the communities and participants.

KW - Affect analysis

KW - Dark web forums

KW - Sentiment analysis

UR - http://www.scopus.com/inward/record.url?scp=51849134039&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51849134039&partnerID=8YFLogxK

U2 - 10.1109/ISI.2008.4565038

DO - 10.1109/ISI.2008.4565038

M3 - Paper

AN - SCOPUS:51849134039

SP - 104

EP - 109

Y2 - 17 June 2008 through 20 June 2008

ER -

Sentiment and affect analysis of Dark Web forums: measuring radicalization on the internet

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this