learning about at-risk veterans using online network surveys
TRANSCRIPT
Learning About At-Risk Veterans Using
Online Network Surveys#TeamFacebook Carlos Greg Diuk
Akos Lada Alex Peysakhovich
Sean J. Taylor
How can we identify more at-risk veterans to gather more survey data or connect them to help?
Problem 1:At-risk veterans might not survey answer truthfully.
Problem 2: How can we find them to
survey them in the first place?
Combine: 1. targeted recruitment 2. online surveys 3. network survey methods
Key Idea
Facebook Ads TargetingTarget using FB ads both generally and using criteria:
• location = near the 5 largest military bases
• job = employed by the US Army
• interest = US Army
400 responses
in 4 hours
for $240
(all today)
Survey Methodology: “Network Scale-Up Method”
• Ask about self: “have you had symptoms of depression?”
• Ask about friends: “think of a person who you know that has served in the US Armed Forces” and then “has this person had symptoms of depression?”
Age
Possible Biases Uncovered: Friends vs Self Reports
Extensions
• This modern approach improves our ability to survey hidden populations.
• Accessing hidden populations could allow for interventions!
• Survey continuously for longitudinal measurements, detect trends and effects of policy changes.
Appendix
MTurk vs. Facebook
Results: Age
Distribution
Gender
Two Types of Recruitment• Create Facebook page + target using Facebook
ads
• Use crowdsourcing (Amazon Mechanical Turk)