DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence

Nasrullah Memon, Panagiotis Karampelas, Pir Abdul Rasool Qureshi, Uffe Kock Wiil

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

The paper proposes a novel system that can be used to detect social polarization and estimate the chances of violent radicalization associated with it. The paper indicates the required processes for such a system and analyzes how existing technologies can be integrated into the proposed system to fulfill the objectives. We propose a scalable design making provisions for potential extensions in future state of art technologies.
OriginalsprogEngelsk
Titel2011 Third International Conference on Machine Learning and Computing, Singapore
Antal sider6
Udgivelses stedSingapore
ForlagIEEE
Publikationsdato2011
ISBN (Trykt)978-1-4244-9252-7
StatusUdgivet - 2011

Fingeraftryk

Polarization
Violence

Citer dette

Memon, N., Karampelas, P., Qureshi, P. A. R., & Wiil, U. K. (2011). DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence. I 2011 Third International Conference on Machine Learning and Computing, Singapore Singapore: IEEE.
Memon, Nasrullah ; Karampelas, Panagiotis ; Qureshi, Pir Abdul Rasool ; Wiil, Uffe Kock. / DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence. 2011 Third International Conference on Machine Learning and Computing, Singapore. Singapore : IEEE, 2011.
@inproceedings{0a8665f632cb456aaa1c1f579ea58b5c,
title = "DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence",
abstract = "The paper proposes a novel system that can be used to detect social polarization and estimate the chances of violent radicalization associated with it. The paper indicates the required processes for such a system and analyzes how existing technologies can be integrated into the proposed system to fulfill the objectives. We propose a scalable design making provisions for potential extensions in future state of art technologies.",
author = "Nasrullah Memon and Panagiotis Karampelas and Qureshi, {Pir Abdul Rasool} and Wiil, {Uffe Kock}",
year = "2011",
language = "English",
isbn = "978-1-4244-9252-7",
booktitle = "2011 Third International Conference on Machine Learning and Computing, Singapore",
publisher = "IEEE",
address = "United States",

}

Memon, N, Karampelas, P, Qureshi, PAR & Wiil, UK 2011, DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence. i 2011 Third International Conference on Machine Learning and Computing, Singapore. IEEE, Singapore.

DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence. / Memon, Nasrullah; Karampelas, Panagiotis; Qureshi, Pir Abdul Rasool; Wiil, Uffe Kock.

2011 Third International Conference on Machine Learning and Computing, Singapore. Singapore : IEEE, 2011.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence

AU - Memon, Nasrullah

AU - Karampelas, Panagiotis

AU - Qureshi, Pir Abdul Rasool

AU - Wiil, Uffe Kock

PY - 2011

Y1 - 2011

N2 - The paper proposes a novel system that can be used to detect social polarization and estimate the chances of violent radicalization associated with it. The paper indicates the required processes for such a system and analyzes how existing technologies can be integrated into the proposed system to fulfill the objectives. We propose a scalable design making provisions for potential extensions in future state of art technologies.

AB - The paper proposes a novel system that can be used to detect social polarization and estimate the chances of violent radicalization associated with it. The paper indicates the required processes for such a system and analyzes how existing technologies can be integrated into the proposed system to fulfill the objectives. We propose a scalable design making provisions for potential extensions in future state of art technologies.

M3 - Article in proceedings

SN - 978-1-4244-9252-7

BT - 2011 Third International Conference on Machine Learning and Computing, Singapore

PB - IEEE

CY - Singapore

ER -

Memon N, Karampelas P, Qureshi PAR, Wiil UK. DETECT: Towards a system for detecting social polarization trends and estimating associated chances of violence. I 2011 Third International Conference on Machine Learning and Computing, Singapore. Singapore: IEEE. 2011