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Disaster privacy/privacy disaster

Author

Listed:
  • Madelyn R. Sanfilippo
  • Yan Shvartzshnaider
  • Irwin Reyes
  • Helen Nissenbaum
  • Serge Egelman

Abstract

Privacy expectations during disasters differ significantly from nonemergency situations. This paper explores the actual privacy practices of popular disaster apps, highlighting location information flows. Our empirical study compares content analysis of privacy policies and government agency policies, structured by the contextual integrity framework, with static and dynamic app analysis documenting the personal data sent by 15 apps. We identify substantive gaps between regulation and guidance, privacy policies, and information flows, resulting from ambiguities and exploitation of exemptions. Results also indicate gaps between governance and practice, including the following: (a) Many apps ignore self‐defined policies; (b) while some policies state they “might” access location data under certain conditions, those conditions are not met as 12 apps included in our study capture location immediately upon initial launch under default settings; and (c) not all third‐party data recipients are identified in policy, including instances that violate expectations of trusted third parties.

Suggested Citation

  • Madelyn R. Sanfilippo & Yan Shvartzshnaider & Irwin Reyes & Helen Nissenbaum & Serge Egelman, 2020. "Disaster privacy/privacy disaster," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(9), pages 1002-1014, September.
    • Handle: RePEc:bla:jinfst:v:71:y:2020:i:9:p:1002-1014
    DOI: 10.1002/asi.24353
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    References listed on IDEAS

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    1. Illah Nourbakhsh & Randy Sargent & Anne Wright & Kathryn Cramer & Brian McClendon & Michael Jones, 2006. "Mapping disaster zones," Nature, Nature, vol. 439(7078), pages 787-788, February.
    2. Crawford, Sue E. S. & Ostrom, Elinor, 1995. "A Grammar of Institutions," American Political Science Review, Cambridge University Press, vol. 89(3), pages 582-600, September.
    3. Rahmi Rahmi & Hideo Joho & Tetsuya Shirai, 2019. "An analysis of natural disaster‐related information‐seeking behavior using temporal stages," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(7), pages 715-728, July.
    4. Jiuchang Wei & Fei Wang & Michael K. Lindell, 2016. "The evolution of stakeholders' perceptions of disaster: A model of information flow," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(2), pages 441-453, February.
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    Cited by:

    1. Michael Zimmer & Jessica Vitak & Philip Wu, 2020. "Editorial introduction: “Information privacy in the digital age”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(9), pages 997-1001, September.
    2. Rebecca Reynolds & Julie Aromi & Catherine McGowan & Britt Paris, 2022. "Digital divide, critical‐, and crisis‐informatics perspectives on K‐12 emergency remote teaching during the pandemic," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1665-1680, December.
    3. Britt Paris & Rebecca Reynolds & Catherine McGowan, 2022. "Sins of omission: Critical informatics perspectives on privacy in e‐learning systems in higher education," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 708-725, May.

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