IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v36y2016i6p872-882.html
   My bibliography  Save this article

A regulatory model for personal data on social networking services in the UK

Author

Listed:
  • Haynes, David
  • Bawden, David
  • Robinson, Lyn

Abstract

Widespread use of online social networking services (SNSs) exposes users to a variety of risks. This study examines the UK’s Data Protection Act 1998 (DPA) and considers the wider regulatory landscape in the UK. Although based on EU legislation, the DPA has shortcomings in enforcement and in regulating global services using national legislation. Lessig’s model of internet regulation was used as a starting point to examine the alternative regulatory mechanisms that apply to personal data on SNSs. Interviews with industry experts highlighted self-regulation as a major influence on the behaviour of users and SNS providers. This has been incorporated into a new model of regulation that applies to SNSs. The resulting model has identified the following modes: law (statutory legislation), self-regulation (privacy policies and self-regulation of the online advertising industry), code (the way services are designed and their system architecture), and norms (expressed as user behaviour and collectively as market behaviour). The paper concludes that this new model of regulation is needed to adequately describe the current regulatory landscape as it applies to social media. This may form a better basis for evaluation of regulatory effectiveness in the future.

Suggested Citation

  • Haynes, David & Bawden, David & Robinson, Lyn, 2016. "A regulatory model for personal data on social networking services in the UK," International Journal of Information Management, Elsevier, vol. 36(6), pages 872-882.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:6:p:872-882
    DOI: 10.1016/j.ijinfomgt.2016.05.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026840121530147X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2016.05.012?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ogiela, Marek R. & Ogiela, Lidia, 2018. "Cognitive cryptography techniques for intelligent information management," International Journal of Information Management, Elsevier, vol. 40(C), pages 21-27.
    2. Shiau, Wen-Lung & Dwivedi, Yogesh K. & Yang, Han Suan, 2017. "Co-citation and cluster analyses of extant literature on social networks," International Journal of Information Management, Elsevier, vol. 37(5), pages 390-399.

    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:ininma:v:36:y:2016:i:6:p:872-882. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: https://www.journals.elsevier.com/international-journal-of-information-management .

    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.