Using SNA to Evaluate
the Effectiveness of Youth Engagement CVE efforts
Background: SNA has
been used for years by law enforcement and intelligence agencies to identify and
understand the nature and structure of existing terrorist networks. As the focus
of counter-terrorism efforts have broadened to also include prevention and
disruption of the radicalization process for vulnerable youth, international NGOs
and local civil society organizations are beginning to address this problem directly
through programs that counter extremist efforts. However, many organizations
have trouble measuring whether their programs have truly prevented violent
extremism and recruitment, and SNA may be able to help in quantifying and
measuring the success.
A
2017 study by Search for Common Ground, an NGO addressing VE and
recruitment to al Shabaab in East Africa, applied Social Network Analysis to design
a CVE intervention in Kenya and Tanzania. After administering a social network survey
at the start of the program to youth and community leaders in four geographic areas, the NGO identified who in the community were “influencers”, what
physical spaces men (versus women) went to receive information, and what social
media platforms are most popular amongst youth.
The information from the SNA revealed that youth are most influenced by their peers, and their peers are the most influential source of sharing extremist ideologues. Some of the SNA maps used in the study are presented below. These, along with others, helped inform the design a program in which Search for Common Ground specifically targeted youth networks, and provide positive messages, empowerment, and peer-to-peer support to urge young men away from extremist ideologies and recruitment.
(Graph 10. Network visualization of influencers advocating violent solutions)
Research Question:
1)
How effective has the CVE intervention been in
disrupting the communication channels used by extremists for recruitment and
radicalization?
2)
What can SNA help improve the effectiveness of
CVE interventions?
In the above example, SNA was employed as a diagnostic tool before the program to understand
the nature of networks that are vulnerable to extremist recruitment. I propose
to apply SNA as an evaluation
tool after the implementation of a CVE intervention to
measure the change in the shape and density of networks over time, which
could serve as a metric for evaluating the success of a CVE intervention. Because
the radicalization process takes place within networks, SNA is particularly
appropriate as an evaluation tool to understand whether a CVE intervention was successful
disrupting negative relationships over time, or amplifying the influence of those people who support peaceful solutions to problems (as opposed to violent ideologies). Many organizations have
trouble quantifying the impact of their youth engagement or social media
messaging campaigns, but SNA can help quantify the extent to which these
programs change the nature of relationships.
Methodology and Data
Collection: The network for the purposes of this SNA would include all youth
who participated in the CVE youth engagement activities. Primary data would be
collected through an SNA survey for participants at three points: 1) before the
project starts (baseline); 2) mid-way through the project (mid-line); 3) at the
end of the project/follow-up (endline). This would be supplemented by qualitative
focus group discussions to better understand the social network map. Potential
SNA survey questions might include:
1)
What individuals in your community do you go to
for information about identity, religion, and politics?
2)
What individuals in your community espouse
extremist ideologies?
3)
What individuals espouse positive solutions to
your problems?
4)
What social media platforms do you trust most to
receive information?
Relevant SNA metrics:
Using survey responses at the end of the CVE program, the evaluator would then compare
network maps over time to see if there was any change of the network shape,
structure, and centrality measures of key participants. SNA metrics could be
indicators of whether the amplification of “positive” voices, or the disruption
of particularly pernicious connections to recruiters, resulted from the program.
-
Size and shape of egonets of key program participants who participated in the CVE
intervention can inform whether the program helped to develop influencers with
the ability to amplify positive messaging to counter extremist narratives.
-
Degree Centrality (closeness and betweenness)
can indicate the potential power and influence of a member by virtue of their position
within the network structure.
-
Directed
ties can expose from whom/to whom information is flowing and whether the
direction of information has changed since the implementation of the project.
-
If the density
of the network of participants increases over time, it may indicate the
program is effective in building peer-to-peer networks who are reinforcing
positive messaging from the program, rather than rely on negative messages from
other peers.
Limitations: There
are two primary limitations to this SNA. The first is the difficulty of collecting
all the necessary information from participants, since many of the questions around
CVE, may be politically sensitive and youth may not be willing to divulge accurate information. The second limitation of SNA as an evaluation tool for CVE is the difficulty of
attributing any observed changes in the network measures to the program. In
other words, even if a network changes over the length of the program, without
more rigorous methods of data collection we cannot definitively conclude that
the change was a result of the NGO’s program, or simply a natural evolution of
a network from other causes. However, when SNA is complemented by other data
collection and qualitative interviews, this limitation may be somewhat mitigated.
1 comment:
A shame you won't be doing this in 217 with us, as it's at the nexus of a whole host of interesting subjects (CVE, Al Shabaab, etc.) which lend themselves really well to SNA. You describe clearly and completely how your post-intervention survey will get you the data you need to do the analysis you propose, and you recognize the limitations implicit in the work. Nice explanation of the SNA measures and the insights they would bring. WOuld have liked to see mor on this, perhaps using combined centrality measures.
If you every want to do this in some shape or form, come see me.
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