The nexus between information disorder and terrorism: a mix of machine learning approach and content analysis on 39 terror attacks

IF 1.3 Q1 Social Sciences
X. Chen, Loo Seng Neo, A. Ang, Jing Yi Lee, Gabriel Ong, Majeed Khader
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引用次数: 0

Abstract

ABSTRACT A surge in the spread of fake news after a terror attack such as the 2018 Surabaya bombings has been observed in recent times. It was clear that the spread of fake news (i.e., information disorder [ID]) can amplify the social impact and consequences of a terror attack on the local community. However, research on the prevalence of ID in connection to a terror incident is not well-studied in Southeast Asia (SEA). To address this gap systematically, this study describes an approach taken to study this nexus between the spread of ID in connection to a terror attack. By drawing on the Global Terrorism Database and manual searches, a case study bank of 39 terror incidents with instances of ID in SEA from 2015 to 2019 was created through the use of a mix of automated and human workflows. This exploratory study sought to document the kinds of ID that emerged in English language media after a terror incident in SEA and to identify implications for the field of ID as well as terrorism
信息混乱与恐怖主义之间的联系:39起恐怖袭击的机器学习方法和内容分析的混合
近年来,在2018年泗水爆炸案等恐怖袭击事件发生后,假新闻的传播激增。很明显,假新闻(即信息混乱[ID])的传播可以放大恐怖袭击对当地社区的社会影响和后果。然而,在东南亚(SEA),对与恐怖事件有关的ID流行率的研究并不充分。为了系统地解决这一差距,本研究描述了一种研究ID传播与恐怖袭击之间关系的方法。通过利用全球恐怖主义数据库和手动搜索,通过混合使用自动化和人工工作流程,创建了2015年至2019年东南亚39起具有ID实例的恐怖事件的案例研究银行。本探索性研究旨在记录东南亚恐怖事件后英语媒体中出现的各种身份认同,并确定其对身份认同和恐怖主义领域的影响
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CiteScore
2.10
自引率
0.00%
发文量
4
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