IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v113y2024ics2214804324001411.html
   My bibliography  Save this article

Privacy during pandemics: Attitudes to public use of personal data

Author

Listed:
  • Freddi, Eleonora
  • Wasenden, Ole Christian

Abstract

In this paper we investigate people’s attitudes to privacy and sharing of personal data when used to help society combat a contagious disease, such as COVID-19. Through a two-wave survey, we investigate the role of personal characteristics, and the effect of information, in shaping privacy attitudes. By conducting the survey in Norway and Sweden, which adopted very different strategies to handle the COVID-19 pandemic, we analyze potential differences in privacy attitudes due to policy changes. We find that privacy concern is negatively correlated with allowing public use of personal data. Trust in the entity collecting data and collectivist preferences are positively correlated with this type of data usage. Providing more information about the public benefit of sharing personal data makes respondents more positive to the use of their data, while providing additional information about the costs associated with data sharing does not change attitudes. The analysis suggests that stating a clear purpose and benefit for the data collection makes respondents more positive about sharing. Despite very different policy approaches, we do not find any major differences in privacy attitudes between Norway and Sweden. Findings are also similar between the two survey waves, suggesting a minor role for contextual changes.

Suggested Citation

  • Freddi, Eleonora & Wasenden, Ole Christian, 2024. "Privacy during pandemics: Attitudes to public use of personal data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 113(C).
  • Handle: RePEc:eee:soceco:v:113:y:2024:i:c:s2214804324001411
    DOI: 10.1016/j.socec.2024.102304
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804324001411
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2024.102304?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    2. Campos-Mercade, Pol & Meier, Armando N. & Schneider, Florian H. & Wengström, Erik, 2021. "Prosociality predicts health behaviors during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 195(C).
    3. Wieringa, Jaap & Kannan, P.K. & Ma, Xiao & Reutterer, Thomas & Risselada, Hans & Skiera, Bernd, 2021. "Data analytics in a privacy-concerned world," Journal of Business Research, Elsevier, vol. 122(C), pages 915-925.
    4. Volker Benndorf & Hans‐Theo Normann, 2018. "The Willingness to Sell Personal Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(4), pages 1260-1278, October.
    5. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    6. Björn Bartling & Alexander W. Cappelen & Henning Hermes & Marit Skivenes & Bertil Tungodden, 2023. "Free to fail? Paternalistic preferences in the United States," ECON - Working Papers 436, Department of Economics - University of Zurich.
    7. Julienne, Hannah & Lavin, Ciarán & Belton, Cameron & Barjaková, Martina & Timmons, Shane & Lunn, Pete, 2020. "Behavioural pre-testing of COVID Tracker, Ireland’s contact tracing app," Papers WP687, Economic and Social Research Institute (ESRI).
    8. Alfred Kobsa & Hichang Cho & Bart P. Knijnenburg, 2016. "The effect of personalization provider characteristics on privacy attitudes and behaviors: An Elaboration Likelihood Model approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(11), pages 2587-2606, November.
    9. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    10. Staffan Andersson & Nicholas Aylott, 2020. "Sweden and Coronavirus: Unexceptional Exceptionalism," Social Sciences, MDPI, vol. 9(12), pages 1-18, December.
    11. Bettina Rockenbach & Abdolkarim Sadrieh & Anne Schielke, 2020. "Providing personal information to the benefit of others," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    12. Marta Paterlini, 2020. "‘Closing borders is ridiculous’: the epidemiologist behind Sweden’s controversial coronavirus strategy," Nature, Nature, vol. 580(7805), pages 574-574, April.
    13. Simon Trang & Manuel Trenz & Welf H. Weiger & Monideepa Tarafdar & Christy M.K. Cheung, 2020. "One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(4), pages 415-428, July.
    14. Abramova, Olga & Wagner, Amina & Olt, Christian M. & Buxmann, Peter, 2022. "One for all, all for one: Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130569, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Susan Athey & Christian Catalini & Catherine Tucker, 2017. "The Digital Privacy Paradox: Small Money, Small Costs, Small Talk," NBER Working Papers 23488, National Bureau of Economic Research, Inc.
    16. Alfnes, Frode & Wasenden, Ole Christian, 2022. "Your privacy for a discount? Exploring the willingness to share personal data for personalized offers," Telecommunications Policy, Elsevier, vol. 46(7).
    17. Marreiros, Helia & Tonin, Mirco & Vlassopoulos, Michael & Schraefel, M.C., 2017. "“Now that you mention it”: A survey experiment on information, inattention and online privacy," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 1-17.
    18. Simon Munzert & Peter Selb & Anita Gohdes & Lukas F. Stoetzer & Will Lowe, 2021. "Tracking and promoting the usage of a COVID-19 contact tracing app," Nature Human Behaviour, Nature, vol. 5(2), pages 247-255, February.
    19. Rowe, Frantz, 2020. "Contact tracing apps and values dilemmas: A privacy paradox in a neo-liberal world," International Journal of Information Management, Elsevier, vol. 55(C).
    20. Saunes, Ingrid Sperre & Vrangbæk, Karsten & Byrkjeflot, Haldor & Jervelund, Signe Smith & Birk, Hans Okkels & Tynkkynen, Liina-Kaisa & Keskimäki, Ilmo & Sigurgeirsdóttir, Sigurbjörg & Janlöv, Nils & R, 2022. "Nordic responses to Covid-19: Governance and policy measures in the early phases of the pandemic," Health Policy, Elsevier, vol. 126(5), pages 418-426.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rehse, Dominik & Tremöhlen, Felix, 2022. "Fostering participation in digital contact tracing," Information Economics and Policy, Elsevier, vol. 58(C).
    2. Rehse, Dominik & Tremöhlen, Felix, 2020. "Fostering participation in digital public health interventions: The case of digital contact tracing," ZEW Discussion Papers 20-076, ZEW - Leibniz Centre for European Economic Research.
    3. Beke, Frank T. & Eggers, Felix & Verhoef, Peter C. & Wieringa, Jaap E., 2022. "Consumers’ privacy calculus: The PRICAL index development and validation," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 20-41.
    4. Cloos, Janis & Mohr, Svenja, 2022. "Acceptance of data sharing in smartphone apps from key industries of the digital transformation: A representative population survey for Germany," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Catherine E. Tucker, 2023. "The Economics of Privacy: An Agenda," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    6. Fast, Victoria & Sachs, Nikolai & Schnurr, Daniel, 2021. "Privacy Decision-Making in Digital Markets: Eliciting Individuals' Preferences for Transparency," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238020, International Telecommunications Society (ITS).
    7. Biener, Christian & Eling, Martin & Lehmann, Martin, 2020. "Balancing the desire for privacy against the desire to hedge risk," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 608-620.
    8. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    9. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    10. Fehrenbach, David & Herrando, Carolina, 2021. "The effect of customer-perceived value when paying for a product with personal data: A real-life experimental study," Journal of Business Research, Elsevier, vol. 137(C), pages 222-232.
    11. Syngjoo Choi & Bongseop Kim & Young Sik Kim & Ohik Kwon, 2025. "Central Bank Digital Currency And Privacy: A Randomized Survey Experiment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 66(2), pages 823-847, May.
    12. Michiel Bijlsma & Carin van der Cruijsen & Nicole Jonker, 2024. "Not all data are created equal - Data sharing and privacy," Applied Economics, Taylor & Francis Journals, vol. 56(11), pages 1250-1267, March.
    13. Alfnes, Frode & Wasenden, Ole Christian, 2022. "Your privacy for a discount? Exploring the willingness to share personal data for personalized offers," Telecommunications Policy, Elsevier, vol. 46(7).
    14. Degutis, Mindaugas & UrbonaviÄ ius, Sigitas & Hollebeek, Linda D. & Anselmsson, Johan, 2023. "Consumers’ willingness to disclose their personal data in e-commerce: A reciprocity-based social exchange perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    15. Yuteng Cheng & Ryuichiro Izumi, 2024. "Monetary Policy Transmission Through Shadow and Traditional Banks," Staff Working Papers 24-9, Bank of Canada.
    16. Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," Working Papers 2021-47, Princeton University. Economics Department..
    17. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    18. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    19. Yuteng Cheng & Ryuichiro Izumi, 2023. "CBDC: Banking and Anonymity," Wesleyan Economics Working Papers 2023-002, Wesleyan University, Department of Economics.
    20. Didier Laussel & Ngo Van Long & Joana Resende, 2023. "Profit Effects of Consumers’ Identity Management: A Dynamic Model," Management Science, INFORMS, vol. 69(6), pages 3602-3615, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceco:v:113:y:2024:i:c:s2214804324001411. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.