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Who gets spammed?

Author

Listed:
  • Il-Horn Hann
  • Kai-Lung Hui
  • Yee-Lin Lai
  • S.Y.T. Lee
  • I.P.L. PNG

Abstract

Using a field experiment, we investigate whether, and if so, how spam is targeted. By comparing the spam rates among a set of synthetic email accounts, we find that spam is targeted to clients of particular email providers, users who declared interest in particular products or services, and consumer segments that are relatively more likely to make online purchases.

Suggested Citation

  • Il-Horn Hann & Kai-Lung Hui & Yee-Lin Lai & S.Y.T. Lee & I.P.L. PNG, 2006. "Who gets spammed?," Natural Field Experiments 00271, The Field Experiments Website.
    • Handle: RePEc:feb:natura:00271
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    References listed on IDEAS

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    1. Karim Jamal & Michael Maier & Shyam Sunder, 2003. "Privacy in E‐Commerce: Development of Reporting Standards, Disclosure, and Assurance Services in an Unregulated Market," Journal of Accounting Research, Wiley Blackwell, vol. 41(2), pages 285-309, May.
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    Cited by:

    1. Il-Horn Hann & Kai-Lung Hui & Sang-Yong T. Lee & Ivan P. L. Png, 2008. "Consumer Privacy and Marketing Avoidance: A Static Model," Management Science, INFORMS, vol. 54(6), pages 1094-1103, June.
    2. Chiao, Benjamin & MacKie-Mason, Jeffrey, 2012. "Using uncensored communication channels to divert spam traffic," Information Economics and Policy, Elsevier, vol. 24(3), pages 173-186.
    3. Khim Yong, Goh & Kai-Lung, Hui & I.P.L., Png, 2008. "Social Interaction, Observational Learning, and Privacy: the "Do Not Call" Registry," MPRA Paper 8225, University Library of Munich, Germany.
    4. Caliendo, Marco & Clement, Michel & Papies, Dominik & Scheel-Kopeinig, Sabine, 2008. "The Cost Impact of Spam Filters: Measuring the Effect of Information System Technologies in Organizations," IZA Discussion Papers 3755, Institute of Labor Economics (IZA).

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