learning about at-risk veterans using online network surveys
TRANSCRIPT
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Learning About At-Risk Veterans Using
Online Network Surveys#TeamFacebook Carlos Greg Diuk
Akos Lada Alex Peysakhovich
Sean J. Taylor
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How can we identify more at-risk veterans to gather more survey data or connect them to help?
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Problem 1:At-risk veterans might not survey answer truthfully.
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Problem 2: How can we find them to
survey them in the first place?
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Combine: 1. targeted recruitment 2. online surveys 3. network survey methods
Key Idea
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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
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400 responses
in 4 hours
for $240
(all today)
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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?”
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Age
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Possible Biases Uncovered: Friends vs Self Reports
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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.
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Appendix
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MTurk vs. Facebook
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Results: Age
Distribution
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Gender
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Two Types of Recruitment• Create Facebook page + target using Facebook
ads
• Use crowdsourcing (Amazon Mechanical Turk)