Book chapter 688 views
Using online data in terrorism research
,
Elizabeth Pearson ,
RYAN SCRIVENS,
Joe Whittaker
A Research Agenda for Terrorism Studies, Pages: 145 - 158
Swansea University Authors:
Stuart Macdonald , Elizabeth Pearson , RYAN SCRIVENS, Joe Whittaker
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DOI (Published version): 10.4337/9781789909104.00016
Abstract
This chapter considers three types of online data available for researchers. First, it looks at machine learning and its use when considering the vast amount of data available to detect indicators of involvement in terrorism. Next, the chapter considers case studies and their use when addressing ‘ho...
| Published in: | A Research Agenda for Terrorism Studies |
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| ISBN: | 9781789909098 9781789909104 |
| Published: |
Edward Elgar Publishing
2023
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa62753 |
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| Abstract: |
This chapter considers three types of online data available for researchers. First, it looks at machine learning and its use when considering the vast amount of data available to detect indicators of involvement in terrorism. Next, the chapter considers case studies and their use when addressing ‘how’ and ‘why’ questions. Given the difficulty of research with this population, case studies lend themselves to analysis of an individual terrorist’s behaviour. Finally, netnography (an ethnographic study of online communities) is reviewed with the argument that it has furthered our understanding of radicalisation. This area of research considers the intersection of online and offline relationships in mobilising people towards radicalisation. The chapter concludes with a review of the benefits and weaknesses of these different online research methods. |
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| Keywords: |
Terrorism research; Machine learning; Case studies; Netnography; Online data; Radicalisation |
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
145 |
| End Page: |
158 |