Terrorism: what the statistics show / Mokhtar Muhammad and Haliza Hasan

Muhammad, Mokhtar and Hasan, Haliza (2020) Terrorism: what the statistics show / Mokhtar Muhammad and Haliza Hasan. ESTEEM Journal of Social Sciences and Humanities, 5. pp. 148-170. ISSN 2600-7274

Abstract

Terrorism has been widely used as a tool by extremists to achieve their goals. Terrorists consider themselves as freedom fighters to liberate the socalled "oppressed" people. The destructions caused by terrorists are enormous
where many lives perished in this "holy war". How the media cover the acts of terrorism actually differ and varied according to their media policy on how they want to present the terrorist stories in their news reporting especially for the headlines. Like what has been stated earlier, there are two types of media coverage of terrorism namely as pro-terrorist and anti-terrorist. Nowadays,
international media especially the Western cable is pro-terrorist press as they believed terrorism news will increase their readership and profit. Without realizing it, they actually trigger and developed the fear of Islam within the
world society, as most of them labeled Muslim or Islam as terrorists. This study is based on secondary data to look at the phenomenon of terrorism throughout the world. Descriptive statistics are used to describe and to summarize the acts of terrorism. The statistics on terrorism include the incident information, incident location, attack information, weapon information, target/victim information, perpetrator information, casualties, and consequences. The statistics are summarized using an existing database managed by the University of Maryland, USA, which is named as the Global Terrorism Database (GTD). Information on terrorist attacks captured were
incidences in the period of 1970 to 2015. The GTD includes systematic data on domestic as well as transnational and international terrorist incidents that have occurred during this period and contain more than 140,000 cases. The
study uses descriptive information about the incidences of terrorism, to show dominant features on certain variables such as attack information or group information, as well as how these dominant features connect with the rest of the variables in the database.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Muhammad, Mokhtar
mokhtar413@uitm.edu.my
Hasan, Haliza
haliza018@uitm.edu.my
Subjects: H Social Sciences > HA Statistics > Statistical data > Universal statistics
H Social Sciences > HA Statistics > Statistical data
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Offenses against public safety. Internal security
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Offenses against public safety. Internal security > Terrorism
H Social Sciences > H Social Sciences (General) > Research
H Social Sciences > H Social Sciences (General) > Research > Statistical methods
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Journal or Publication Title: ESTEEM Journal of Social Sciences and Humanities
UiTM Journal Collections: UiTM Journal > ESTEEM Journal of Social Sciences and Humanities (EJSSH)
ISSN: 2600-7274
Volume: 5
Page Range: pp. 148-170
Keywords: Terrorist; Terrorism; Freedom Fighters, Text Mining, Global Terrorism Database (GTD)
Date: February 2020
URI: https://ir.uitm.edu.my/id/eprint/29198
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29198

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