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  Can you spot a scam? Measuring and improving scam identification ability

Kubilay, E., Raiber, E., Spantig, L., Cahlíková, J., & Kaaria, L. (2023). Can you spot a scam? Measuring and improving scam identification ability. Journal of Development Economics, 165: 103147. doi:10.1016/j.jdeveco.2023.103147.

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 Creators:
Kubilay, Elif1, Author
Raiber, Eva1, Author
Spantig, Lisa1, Author
Cahlíková, Jana2, Author
Kaaria, Lucy1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Public Economics, MPI for Tax Law and Public Finance, Max Planck Society, Munich, DE, ou_830552              

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Free keywords: Consumer protection; Consumer fraud; Digital financial services; Scam susceptibility; Scam education; Kenya
 Abstract: The expansion of digital financial services leads to severe consumer protection issues such as fraud and scams. As these potentially decrease trust in digital services, especially in developing countries, avoiding victimization has become an important policy objective. In an online experiment, we first investigate how well individuals in Kenya identify phone scams using a novel measure of scam identification ability. We then test the effectiveness of scam education, a commonly used approach by organizations for fraud prevention. We find that common tips on how to spot scams do not significantly improve individuals’ scam identification ability, i.e., the distinction between scams and genuine messages. This null effect is driven by an increase in correctly identified scams and a decrease in correctly identified genuine messages, indicating overcaution. Additionally, we find suggestive evidence that genuine messages with scam-like features are misclassified more often, highlighting the importance of a careful design of official communication.

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Language(s): eng - English
 Dates: 2023-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.jdeveco.2023.103147
 Degree: -

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Title: Journal of Development Economics
  Other : J. Dev. Econ.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: North-Holland
Pages: - Volume / Issue: 165 Sequence Number: 103147 Start / End Page: - Identifier: ISSN: 0304-3878
CoNE: https://pure.mpg.de/cone/journals/resource/954921387912