IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03322-9.html
   My bibliography  Save this article

Identifying stance in legislative discourse: a corpus-driven study of data protection laws

Author

Listed:
  • Le Cheng

    (Zhejiang University)

  • Xiuli Liu

    (Zhejiang University)

  • Chunlei Si

    (Shanghai Jiao Tong University)

Abstract

Mirroring public ideologies and value systems in legislative discourse, stance not only functions as a powerful instrument for legislators to balance legal values and stakeholders’ interests but also acts as a valuable reference for individuals to understand legislative texts. This study conducts a corpus-driven analysis of stance expressions in legislative discourse. Using three self-compiled corpora that incorporate data protection laws from the United States, the European Union, and China, we apply Hyland’s stance model to contrastively analyse evidence of hedging, boosting, self-mention, and attitude markers across these jurisdictions and eventually propose a specialised research model of stance in law. This study unveils the nature of modesty and sufficient discursive space of data protection laws, as well as legislative values and public ideologies conveyed by different jurisdictions within the broader socio-legal cultural context. Besides uncovering the legal constructiveness of data protection laws, the results also suggest that the overall representation of stance in data protection legislation aligns with its performance in legislative discourse, which showcases a legislative tendency to achieve an overtly neutral appearance through covert stance expressions.

Suggested Citation

  • Le Cheng & Xiuli Liu & Chunlei Si, 2024. "Identifying stance in legislative discourse: a corpus-driven study of data protection laws," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03322-9
    DOI: 10.1057/s41599-024-03322-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03322-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-03322-9?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. Jiamin Pei & Le Cheng, 2022. "Deciphering emoji variation in courts: a social semiotic perspective," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    3. Nima Kordzadeh & Maryam Ghasemaghaei, 2022. "Algorithmic bias: review, synthesis, and future research directions," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 388-409, May.
    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. J. K. Pappalardo, 2022. "Economics of Consumer Protection: Contributions and Challenges in Estimating Consumer Injury and Evaluating Consumer Protection Policy," Journal of Consumer Policy, Springer, vol. 45(2), pages 201-238, June.
    2. Monica Lestari Paramita & Maria Kasinidou & Styliani Kleanthous & Paolo Rosso & Tsvi Kuflik & Frank Hopfgartner, 2024. "Towards improving user awareness of search engine biases: A participatory design approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(5), pages 581-599, May.
    3. Jacopo Arpetti & Antonio Iovanella, 2019. "Towards more effective consumer steering via network analysis," Papers 1903.11469, arXiv.org, revised Nov 2019.
    4. Ronen Gradwohl, 2018. "Privacy in implementation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 50(3), pages 547-580, March.
    5. John M. Abowd & Ian M. Schmutte & William Sexton & Lars Vilhuber, 2019. "Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods," Papers 1906.09353, arXiv.org.
    6. Anna Fielder & Riina Vuorikari & Nuria Rodriguez-Priego & Yves Punie, 2016. "Background Review for Developing the Digital Competence Framework for Consumers: A snapshot of hot-button issues and recent literature," JRC Research Reports JRC103332, Joint Research Centre.
    7. Dengler, Sebastian & Prüfer, Jens, 2021. "Consumers' privacy choices in the era of big data," Games and Economic Behavior, Elsevier, vol. 130(C), pages 499-520.
    8. Wang, Huizong & Hao, Yulong & Fu, Qiang, 2024. "Data factor agglomeration and urban green finance: A quasi-natural experiment based on the National Big Data Comprehensive Pilot Zone," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    9. Lluc Vila-Boix & Alicia Blanco-González & Giorgia Miotto & Felipe Hernández-Perlines, 2024. "The impact of social media advertising on brand’ legitimacy," International Entrepreneurship and Management Journal, Springer, vol. 20(3), pages 2115-2138, September.
    10. Alireza Fallah & Michael I. Jordan & Ali Makhdoumi & Azarakhsh Malekian, 2024. "The Limits of Price Discrimination Under Privacy Constraints," Papers 2402.08223, arXiv.org, revised Jun 2024.
    11. 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.
    12. Oliver Budzinski & Annika Stöhr, 2019. "Competition policy reform in Europe and Germany – institutional change in the light of digitization," European Competition Journal, Taylor & Francis Journals, vol. 15(1), pages 15-54, January.
    13. Daniel Krähmer & Roland Strausz, 2023. "Optimal Nonlinear Pricing with Data-Sensitive Consumers," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 80-108, May.
    14. 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.
    15. Cecere, Grazia & Le Guel, Fabrice & Soulié, Nicolas, 2012. "Perceived Internet privacy concerns on social network in Europe," MPRA Paper 41437, University Library of Munich, Germany.
    16. Bó, Inácio & Chen, Li & Hakimov, Rustamdjan, 2024. "Strategic responses to personalized pricing and demand for privacy: An experiment," Games and Economic Behavior, Elsevier, vol. 148(C), pages 487-516.
    17. Frank Ebbers & Jan Zibuschka & Christian Zimmermann & Oliver Hinz, 2021. "User preferences for privacy features in digital assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 411-426, June.
    18. Li, Jianpei & Zhang, Wanzhu, 2022. "Behavior-based pricing and signaling of product quality," MPRA Paper 120263, University Library of Munich, Germany, revised 03 Jan 2023.
    19. Ebers, Axel & Thomsen, Stephan L., 2021. "How do warnings affect retail demand for Bitcoin? Evidence from an international survey experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    20. Oghazi, Pejvak & Schultheiss, Rakel & Chirumalla, Koteshwar & Kalmer, Nicolas Philipp & Rad, Fakhreddin F., 2020. "User self-disclosure on social network sites: A cross-cultural study on Facebook’s privacy concepts," Journal of Business Research, Elsevier, vol. 112(C), pages 531-540.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03322-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.