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Cognitive biases, dark patterns, and the 'privacy paradox'.

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  • 1Princeton University, Center for Information Technology Policy, Princeton, NJ 08540, United States; New York Law School, 185 West Broadway, New York, NY 10013, United States.

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Summary

Individuals often appear unconcerned with privacy, but this overlooks how platforms exploit cognitive biases and design tactics to manipulate data disclosure. Current laws permit this anti-consumer behavior, necessitating a new regulatory approach.

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Area of Science:

  • Behavioral Economics
  • Information Privacy Law
  • Human-Computer Interaction

Background:

  • Commonly held belief that individuals disregard privacy for convenience.
  • This perspective overlooks manipulative design tactics and cognitive biases influencing user data disclosure.
  • Platforms leverage psychological principles to encourage information sharing.

Purpose of the Study:

  • To challenge the notion that users willingly trade privacy for convenience.
  • To identify specific cognitive biases and platform design tactics that manipulate privacy disclosures.
  • To examine the legal landscape enabling such practices and propose regulatory solutions.

Main Methods:

  • Analysis of cognitive biases (e.g., hyperbolic discounting, overchoice).
  • Examination of platform design strategies influencing user behavior.
  • Review of current legal frameworks governing data privacy.

Main Results:

  • User privacy decisions are significantly influenced by cognitive biases and manipulative design.
  • Platforms exploit psychological vulnerabilities to increase data collection.
  • Existing legal structures inadequately protect users from these manipulative practices.

Conclusions:

  • The assumption of user indifference to privacy is flawed.
  • Platform design and cognitive biases create an environment ripe for privacy erosion.
  • Legal reform is essential to curb manipulative data disclosure practices and protect consumers.