Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Social Media and Extremist Groups On...
~
Fertakos, Ryan.
Linked to FindBook
Google Book
Amazon
博客來
Social Media and Extremist Groups Online: An Examination of Methods of Radicalization and Its Implications.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Social Media and Extremist Groups Online: An Examination of Methods of Radicalization and Its Implications./
Author:
Fertakos, Ryan.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:
48 p.
Notes:
Source: Masters Abstracts International, Volume: 80-11.
Contained By:
Masters Abstracts International80-11.
Subject:
Public administration. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13863252
ISBN:
9781392119624
Social Media and Extremist Groups Online: An Examination of Methods of Radicalization and Its Implications.
Fertakos, Ryan.
Social Media and Extremist Groups Online: An Examination of Methods of Radicalization and Its Implications.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 48 p.
Source: Masters Abstracts International, Volume: 80-11.
Thesis (M.A.)--The University of North Carolina at Charlotte, 2019.
This item must not be sold to any third party vendors.
This thesis studies the relationship between extremists groups, their presence online, their ability to radicalize individuals, and the implications of this relationship. Data was collected from Twitter related to two significant events claimed by ISIS or ISIS supporters: the 2015 terrorist attacks in Paris and the 2017 Battle of Marawi in the Philippines. The sample of tweets was then broken down into four different "phases" of radicalization by using key indicator terms of each phase. Using both an analysis of time-series trends and negative binomial regression I examine the relationship between the temporal proximity to each event and the number of tweets in each phase of radicalization. The results are inconclusive: there are few clear trends in the time-series analysis, and no statistically significant relationships. I offer possible explanations for the absence of significant relationships, and I conclude that the results nonetheless demonstrate the potential of this type of analysis in the future. Extremist groups continue to operate online, and understanding how they do so may be key to stopping them from radicalizing more individuals.
ISBN: 9781392119624Subjects--Topical Terms:
531287
Public administration.
Social Media and Extremist Groups Online: An Examination of Methods of Radicalization and Its Implications.
LDR
:02243nmm a2200325 4500
001
2206559
005
20190828120202.5
008
201008s2019 ||||||||||||||||| ||eng d
020
$a
9781392119624
035
$a
(MiAaPQ)AAI13863252
035
$a
(MiAaPQ)uncc:12045
035
$a
AAI13863252
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Fertakos, Ryan.
$3
3433472
245
1 0
$a
Social Media and Extremist Groups Online: An Examination of Methods of Radicalization and Its Implications.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
48 p.
500
$a
Source: Masters Abstracts International, Volume: 80-11.
500
$a
Publisher info.: Dissertation/Thesis.
500
$a
Conrad, Justin.
502
$a
Thesis (M.A.)--The University of North Carolina at Charlotte, 2019.
506
$a
This item must not be sold to any third party vendors.
520
$a
This thesis studies the relationship between extremists groups, their presence online, their ability to radicalize individuals, and the implications of this relationship. Data was collected from Twitter related to two significant events claimed by ISIS or ISIS supporters: the 2015 terrorist attacks in Paris and the 2017 Battle of Marawi in the Philippines. The sample of tweets was then broken down into four different "phases" of radicalization by using key indicator terms of each phase. Using both an analysis of time-series trends and negative binomial regression I examine the relationship between the temporal proximity to each event and the number of tweets in each phase of radicalization. The results are inconclusive: there are few clear trends in the time-series analysis, and no statistically significant relationships. I offer possible explanations for the absence of significant relationships, and I conclude that the results nonetheless demonstrate the potential of this type of analysis in the future. Extremist groups continue to operate online, and understanding how they do so may be key to stopping them from radicalizing more individuals.
590
$a
School code: 0694.
650
4
$a
Public administration.
$3
531287
650
4
$a
Web Studies.
$3
1026830
690
$a
0617
690
$a
0646
710
2
$a
The University of North Carolina at Charlotte.
$b
Public Administration.
$3
3433473
773
0
$t
Masters Abstracts International
$g
80-11.
790
$a
0694
791
$a
M.A.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13863252
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9383108
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login