Terrorism, social media and text mining technique : Review of six years past studies

The aim of this paper is to examine the Islamic State of Iraq and Syria (ISIS) recruitment actual behavior through social media. The ISIS has targeted Indonesia as the main source of participants due to the large of Muslim community with active internet users. Despite many ways to connect with socia...

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Main Authors: Kibtiah, Tia Mariatul, Miranda, Eka, Fernando, Yudi, Aryuni, Mediana
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42439/1/Terrorism%2C%20social%20media%20and%20text%20mining%20technique.pdf
http://umpir.ump.edu.my/id/eprint/42439/2/Terrorism%2C%20social%20media%20and%20text%20mining%20technique_Review%20of%20six%20years%20past%20studies_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42439/
https://doi.org/10.1109/ICIMTech50083.2020.9211148
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spelling my.ump.umpir.424392024-10-30T04:46:38Z http://umpir.ump.edu.my/id/eprint/42439/ Terrorism, social media and text mining technique : Review of six years past studies Kibtiah, Tia Mariatul Miranda, Eka Fernando, Yudi Aryuni, Mediana HD28 Management. Industrial Management T Technology (General) The aim of this paper is to examine the Islamic State of Iraq and Syria (ISIS) recruitment actual behavior through social media. The ISIS has targeted Indonesia as the main source of participants due to the large of Muslim community with active internet users. Despite many ways to connect with social media like Twitter, Facebook, Instagram, and YouTube using videos and images, this paper is selected text as the main of source of materials. This paper is deployed a qualitative technique to analyze related literature and then it was combined with media tracking systems from texts posted on Twitter, Facebook, Website, and Telegram. The text mining was captured words that frequently appears that mentioned their support to the ISIS accounts from 2011 to 2017. This paper found that Indonesian tends to pay more attention to the existence of ISIS in Syria. This paper suggests that the Indonesian related agency to closely monitor the accounts which positively associated with ISIS terrorism and propaganda and take necessary action to clean up the massive haywire issues. Institute of Electrical and Electronics Engineers Inc. 2020-08 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42439/1/Terrorism%2C%20social%20media%20and%20text%20mining%20technique.pdf pdf en http://umpir.ump.edu.my/id/eprint/42439/2/Terrorism%2C%20social%20media%20and%20text%20mining%20technique_Review%20of%20six%20years%20past%20studies_ABS.pdf Kibtiah, Tia Mariatul and Miranda, Eka and Fernando, Yudi and Aryuni, Mediana (2020) Terrorism, social media and text mining technique : Review of six years past studies. In: Proceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020. 5th International Conference on Information Management and Technology, ICIMTech 2020 , 13 - 14 August 2020 , Virtual, Bandung. pp. 571-576. (9211148). ISBN 978-172817071-8 (Published) https://doi.org/10.1109/ICIMTech50083.2020.9211148
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic HD28 Management. Industrial Management
T Technology (General)
spellingShingle HD28 Management. Industrial Management
T Technology (General)
Kibtiah, Tia Mariatul
Miranda, Eka
Fernando, Yudi
Aryuni, Mediana
Terrorism, social media and text mining technique : Review of six years past studies
description The aim of this paper is to examine the Islamic State of Iraq and Syria (ISIS) recruitment actual behavior through social media. The ISIS has targeted Indonesia as the main source of participants due to the large of Muslim community with active internet users. Despite many ways to connect with social media like Twitter, Facebook, Instagram, and YouTube using videos and images, this paper is selected text as the main of source of materials. This paper is deployed a qualitative technique to analyze related literature and then it was combined with media tracking systems from texts posted on Twitter, Facebook, Website, and Telegram. The text mining was captured words that frequently appears that mentioned their support to the ISIS accounts from 2011 to 2017. This paper found that Indonesian tends to pay more attention to the existence of ISIS in Syria. This paper suggests that the Indonesian related agency to closely monitor the accounts which positively associated with ISIS terrorism and propaganda and take necessary action to clean up the massive haywire issues.
format Conference or Workshop Item
author Kibtiah, Tia Mariatul
Miranda, Eka
Fernando, Yudi
Aryuni, Mediana
author_facet Kibtiah, Tia Mariatul
Miranda, Eka
Fernando, Yudi
Aryuni, Mediana
author_sort Kibtiah, Tia Mariatul
title Terrorism, social media and text mining technique : Review of six years past studies
title_short Terrorism, social media and text mining technique : Review of six years past studies
title_full Terrorism, social media and text mining technique : Review of six years past studies
title_fullStr Terrorism, social media and text mining technique : Review of six years past studies
title_full_unstemmed Terrorism, social media and text mining technique : Review of six years past studies
title_sort terrorism, social media and text mining technique : review of six years past studies
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/42439/1/Terrorism%2C%20social%20media%20and%20text%20mining%20technique.pdf
http://umpir.ump.edu.my/id/eprint/42439/2/Terrorism%2C%20social%20media%20and%20text%20mining%20technique_Review%20of%20six%20years%20past%20studies_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42439/
https://doi.org/10.1109/ICIMTech50083.2020.9211148
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score 13.23243