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    WI21-03: Assessing Vulnerability to Social Security Scams

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    Date
    2021
    Author
    Robb, Cliff
    Wendel, Steve
    Publisher
    Center for Financial Security
    Metadata
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    Abstract
    Over the last few years, Social Security scams have become one of the most common forms of government imposter fraud. These scams cost innocent people in the United States millions of dollars each year and undercut the ability of the Social Security Administration to contact and interact with citizens about their benefits. This report presents research into how to help individuals discriminate between scams and real appeals from the Social Security Administration. On a nationally representative sample of United States residents, the authors randomly assign participants to one of four training programs: from general tips about scams to a targeted experiential learning program inspired by inoculation theory. There is strong evidence that the inoculation process successfully and significantly increases fraud detection without decreasing trust in real communications. It provides protection against both SSA and non-SSA scams, such as Amazon imposter scams. The impact, however, is specific to the mode of communication (email versus letter or SMS) and decays over time; training programs should be targeted accordingly. This study suggests that a low cost, four and a half minute training can help individuals fight fraud, and such training should be examined for further refinement and potentially for broad deployment.
    Subject
    Scam Identification
    Behavioral Science
    Digital Fraud
    Inoculation theory
    randomized control trial
    D91
    P46
    Permanent Link
    http://digital.library.wisc.edu/1793/83786
    Related Material/Data
    https://cfsrdrc.wisc.edu/project/wi21-03
    Type
    Article
    Citation
    Robb, Cliff. Wendel, Steve. (2021). Assessing Vulnerability to Social Security Scams. Retirement & Disability Research Center. https://cfsrdrc.wisc.edu/publications/working-paper/wi21-03
    Part of
    • RDRC FY2021 Research Projects

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