X. Chen, Loo Seng Neo, A. Ang, Jing Yi Lee, Gabriel Ong, Majeed Khader
{"title":"The nexus between information disorder and terrorism: a mix of machine learning approach and content analysis on 39 terror attacks","authors":"X. Chen, Loo Seng Neo, A. Ang, Jing Yi Lee, Gabriel Ong, Majeed Khader","doi":"10.1080/17467586.2022.2055097","DOIUrl":null,"url":null,"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","PeriodicalId":38896,"journal":{"name":"Dynamics of Asymmetric Conflict: Pathways toward Terrorism and Genocide","volume":"77 1","pages":"190 - 209"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dynamics of Asymmetric Conflict: Pathways toward Terrorism and Genocide","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17467586.2022.2055097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
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