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  5. Online Social Media in the Syria Conflict: Encompassing the Extremes and the In-Betweens
 
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Online Social Media in the Syria Conflict: Encompassing the Extremes and the In-Betweens

Author(s)
O'Callaghan, Derek  
Prucha, Nico  
Greene, Derek  
Conway, Maura  
Carthy, Joe  
Cunningham, Pádraig  
Uri
http://hdl.handle.net/10197/6684
Date Issued
2014-08-20
Date Available
2015-07-28T16:58:34Z
Abstract
The Syria conflict has been described as the most socially mediated in history, with online social media playing a particularly important role. At the same time, the ever-changing landscape of the conflict leads to difficulties in applying analysis approaches taken by other studies of online political activism. In this paper, we propose an approach motivated by the Grounded Theory method, which is used within the social sciences to perform analysis in situations where key prior assumptions or the proposal of an advance hypothesis may not be possible. We apply this method to analyze Twitter and YouTube activity of a range of protagonists to the conflict in an attempt to reveal additional insights into the relationships between them. By means of a network representation that combines multiple data views, we uncover communities of accounts falling into four categories that broadly reflect the situation on the ground in Syria. A detailed analysis of selected communities within the anti-regime categories is provided, focusing on their central actors, preferred online platforms, and activity surrounding real world events. Our findings indicate that social media activity in Syria is considerably more convoluted than reported in many other studies of online political activism, suggesting that alternative analysis approaches can play an important role in this type of scenario.
Other Sponsorship
Science Foundation Ireland
2CENTRE, the EU Cybercrime Centres of Excellence Network
Type of Material
Conference Publication
Subjects

Machine learning

Statistics

Topic modeling

Topic coherence

LDA

NMF

DOI
10.1109/ASONAM.2014.6921619
Web versions
http://www.asonam2014.org/
Language
English
Status of Item
Peer reviewed
Journal
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2014
Conference Details
The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'14), 17-20 August, Beijing, China
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

Size

432.93 KB

Format

Adobe PDF

Checksum (MD5)

a3b33720d9d959dda5352c217f43d653

Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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