A Semantic Graph-based Approach for Radicalisation Detection on Social Media thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

A Semantic Graph-based Approach for Radicalisation Detection on Social Media

Published on Jul 10, 2017940 Views

From its start, the so-called Islamic State of Iraq and the Levant (ISIL/ISIS) has been successfully exploiting social media networks, most notoriously Twitter, to promote its propaganda and recruit n

Related categories

Chapter list

A Semantic Graph-based Approach for Radicalisation Detection on Social Media 00:00
Online Radicalisation 00:17
Islamic State in Iraq and Syria (ISIS)00:36
Where Syria's foreign fighters come from01:11
Map of Europe01:39
Radicalization Detection – Background02:08
Radicalization Detection – Background (2)02:52
Radicalization Detection – Background (3)03:25
Semantic Graph-based Approach for Pro-ISIS Stance Detection04:04
Semantic Graph-based Approach for Pro-ISIS Stance Detection 04:17
Semantic Graph-based Approach for Pro-ISIS Stance Detection (2)04:52
Semantic Graph-based Approach for Pro-ISIS Stance Detection (3)05:19
Semantic Graph-based Approach for Pro-ISIS Stance Detection (4)06:09
Experimental Setup 06:59
Experimental Setup (2)07:32
Experimental Setup (3)09:16
Evaluation Results10:09
Evaluation Results - 110:58
Evaluation Results - 211:50
Signals of Radicalisation13:06
Signals of Radicalisation (2)14:20
Signals of Radicalisation (3)15:08
Conclusion16:43
Thank You!17:44