A Comparative Study of Privacy Policies in E-Commerce Platforms
DOI:
https://doi.org/10.15662/IJRAI.2022.0503005Keywords:
E-commerce websites, privacy policies, user data analysisAbstract
This is the digital era. Every device can generate and process information in the age of Internet of Things (IoT). Security of the new technologies and platforms is debated for various reasons. There are technological platforms that collect data from the users directly while some platforms use the processed data. The focus of this research study is on the privacy of the user data in e-commerce platforms. The privacy policies of e-commerce websites are compared and analyzed to check the different ways user data is collected and processed by careful manipulation of the privacy policies. Privacy policies are not just generic documents with standard terms but there are specific terms that are written using unique style, choice of words, readability scores, etc. so that the data can still be collected but not known to the users. This study aims at analyzing this specific aspect of privacy policies of the e-commerce websites.
References
1. Bennett, C. J., & Raab, C. D. (2017). The governance of privacy: Policy instruments in global perspective. Routledge.
2. Chang, Y., Wong, S. F., Libaque-Saenz, C. F., & Lee, H. (2018). The role of privacy policy on consumers’ perceived privacy. Government Information Quarterly, 35(3), 445-459.
3. Chua, H. N., Herbland, A., Wong, S. F., & Chang, Y. (2017). Compliance to personal data protection principles: A study of how organizations frame privacy policy notices. Telematics and Informatics, 34(4), 157-170.
4. Global retail e-commerce market size 2014-2023 | Statista. (2020). Retrieved 27 March 2020, from https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
5. Liu, F., Wilson, S., Story, P., Zimmeck, S., & Sadeh, N. (2018). Towards automatic classification of privacy policy text. School of Computer Science Carnegie Mellon University, Pittsburgh, PA, Tech. Rep. CMU-ISR-17-118R and CMULTI-17-010.
6. Obar, J. A., & Oeldorf-Hirsch, A. (2020). The biggest lie on the Internet: Ignoring the privacy policies and terms of service policies of social networking services. Information, Communication & Society, 23(1), 128-147.
7. Paspatis, I., Tsohou, A., & Kokolakis, S. (2018). AppAware: A Model for Privacy Policy Visualization for Mobile Applications.
8. Sathyendra, K. M., Wilson, S., Schaub, F., Zimmeck, S., & Sadeh, N. (2017, September). Identifying the provision of choices in privacy policy text. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2774-2779).
9. Slavin, R., Wang, X., Hosseini, M. B., Hester, J., Krishnan, R., Bhatia, J., ... & Niu, J. (2016, May). Toward a framework for detecting privacy policy violations in android application code. In Proceedings of the 38th International Conference on Software Engineering (pp. 25-36).
10. Such, J. M., & Rovatsos, M. (2016). Privacy policy negotiation in social media. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 11(1), 1-29.
11. Wilson, S., Schaub, F., Dara, A. A., Liu, F., Cherivirala, S., Leon, P. G., ... & Norton, T. B. (2016, August). The creation and analysis of a website privacy policy corpus. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 1330-1340).
