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Using a social discounting task to measure differential personal information sharing.

Jacob Battaglia1, Paul Romanowich1

  • 1Psychology Department, Gonzaga University.

Journal of the Experimental Analysis of Behavior
|November 28, 2022
PubMed
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Individuals share health information more readily than other personal data, according to a social discounting study. This finding is crucial for understanding online scams like phishing.

Keywords:
altruismdiscounting rategenerosityselfishnessspear phishing

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Area of Science:

  • Psychology
  • Cybersecurity
  • Behavioral Economics

Background:

  • Previous research indicates personal information is shared similarly to money.
  • Online scams, such as phishing, exploit the sharing of personal information.
  • No prior studies have quantified differences in sharing across various personal information types.

Purpose of the Study:

  • To investigate differential sharing rates for four types of personal information: identification, financial, health, and security.
  • To assess the utility of a modified social discounting task for measuring personal information sharing behavior.

Main Methods:

  • A between-participant experiment was conducted with 100 college-aged participants.
  • A modified social discounting task was employed to measure willingness to share different forms of personal information.
  • Discounting rates for identification, financial, health, and security information were compared.

Main Results:

  • Participants exhibited a significantly higher discounting rate for health information compared to identification, financial, and security information.
  • This suggests health information is shared more readily than other types.
  • No significant differences in discounting rates were found among identification, financial, and security information.

Conclusions:

  • The social discounting task is a valid method for assessing differential personal information sharing.
  • Health information appears to be shared more willingly, potentially increasing vulnerability to targeted scams.
  • Further research is needed to explore the reasons behind this differential sharing and its implications for phishing susceptibility.