REFERENCES
1. Soobrah R., Clark S. Your patient information website: how good is it? Colorectal. Dis. 2012;14:e90-94.
2. Jadad A. R., Gagliardi A. Rating health information on the Internet: navigating to knowledge or to Babel? JAMA. 1998;279:611-14.
3. Pais S. C., Guedes M., Menezes I. The values of empowerment and citizenship and the experience of children and adolescents with a chronic disease. Citiz. Soc. Econ. Educ. 2012;11:133-44.
4. Carlsson, R.; Rauti, S.; Heino, T. Data leaks to third parties in web services for vulnerable groups. In: 2023 46th MIPRO ICT and Electronics Convention (MIPRO). IEEE; 2023. pp. 1208–12.
5. Huidobro A., Monroy R., Cervantes B. A High-level representation of the navigation behavior of website visitors. Appl. Sci. 2022;12:6711.
6. Samarasinghe, N.; Adhikari, A.; Mannan, M.; Youssef, A. Et tu, brute? privacy analysis of government websites and mobile apps. In: Proceedings of the ACM Web Conference 2022. ACM; 2022. pp. 564–75.
7. Zheutlin A. R., Niforatos J. D., Sussman J. B. Data-tracking on government, non-profit, and commercial health-related websites. J. Gen. Intern. Med. 2022;37:1315-7.
8. Libert T. Privacy implications of health information seeking on the web. Commun. ACM. 2015;58:68-77.
9. Dang Y., Guo S., Guo X., Vogel D. Privacy protection in online health communities: natural experimental empirical study. J. Med. Internet Res. 2020;22:e16246.
10. Tseng H. T., Ibrahim F., Hajli N., Nisar T. M., Shabbir H. Effect of privacy concerns and engagement on social support behaviour in online health community platforms. Technol. Forecast. Soc. Change. 2022;178:121592.
11. Avizohar C., Gazit T., Aharony N. Facebook medical support groups: the communication privacy management perspective. Aslib J. Inf. Manag. 2023;75:664-84.
12. Yuchao, W.; Ying, Z.; Liao, Z. Health privacy information self-disclosure in online health community. Front. Public Health2020, 8, 602792. Available from: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2020.602792.
13. Zhang X., Liu S., Chen X., et al. Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Inf. Manag. 2018;55:482-93.
14. Zhu, Y.; Tong, X.; Wang, X. Identifying privacy leakage from user-generated content in an online health community-a deep learning approach. In: 2019 IEEE International Conference on Healthcare Informatics (ICHI). IEEE; 2019. pp. 1–2.
15. Feng C. L., Cheng Z. C., Huang L. J. An Investigation into patient privacy disclosure in online medical platforms. IEEE Access. 2019;7:29085-95.
16. Masters, K. The gathering of user data by national Medical Association websites. Internet J. Med. Informat.2012, 6. Available from: https://ispub.com/IJMI/6/2/14386.
17. Huesch M. D. Privacy threats when seeking online health information. JAMA Intern. Med. 2013;173:1838-40.
18. Brown, S. D.; Levy, Y. Towards a development of an index to measure pharmaceutical companies' online privacy practices. Online J. Appl. Knowledge Manag.2013, 1, 93–108. Available from: https://www.iiakm.org/ojakm/articles/2013/OJAKM_Volume1_1pp93-108.php.
19. Burkell, J.; Fortier, A. Consumer health websites and behavioural tracking. In: Proceedings of the Annual Conference of CAIS/Actes du congrès annuel de l'ACSI; 2012.
20. Burkell, J.; Fortier, A. Privacy policy disclosures of behavioural tracking on consumer health websites. In: Proceedings of the American Society for Information Science and Technology. Wiley Online Library; 2013. pp. 1–9.
21. Surani, A.; Bawaked, A.; Wheeler, M.; et al. Security and Privacy of Digital Mental Health: An Analysis of Web Services and Mobile Applications. In: IFIP Annual Conference on Data and Applications Security and Privacy. Springer; 2023. pp. 319–38.
22. Friedman A. B., Merchant R. M., Maley A., et al. Widespread Third-Party Tracking On Hospital Websites Poses Privacy Risks For Patients And Legal Liability For Hospitals. Health Aff. 2023;42:508-15.
23. Yu, X.; Samarasinghe, N.; Mannan, M.; Youssef, A. Got sick and tracked: privacy analysis of hospital websites. In: 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS & PW). IEEE; 2022. pp. 278–86.
24. Friedman A. B., Bauer L., Gonzales R., McCoy M. S. Prevalence of third-party tracking on abortion clinic web pages. JAMA Intern. Med. 2022;182:1221-22.
25. Huo, M.; Bland, M.; Levchenko, K. All eyes on me: inside third party trackers' exfiltration of PHI from healthcare providers' online systems. In: Proceedings of the 21st Workshop on Privacy in the Electronic Society. WPES'22. New York, NY, USA: Association for Computing Machinery; 2022. p. 197–211.
26. Schnell, K.; Kaushik, R. Hunting for the privacy policy - hospital website design; 2022. Available at SSRN: https://ssrn.com/abstract=406844.
27. Wesselkamp, V.; Fouad, I.; Santos, C.; et al. In-depth technical and legal analysis of tracking on health related websites with ERNIE extension. In: Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society. WPES '21. New York, NY, USA: Association for Computing Machinery; 2021. p. 151–166.
28. Krisam, C.; Dietmann, H.; Volkamer, M.; Kulyk O. Dark patterns in the wild: Review of cookie disclaimer designs on top 500 German websites. In: Proceedings of the 2021 European Symposium on Usable Security; 2021. pp. 1–8.
29. Hils, M.; Woods, D. W.; Böhme, R. Measuring the emergence of consent management on the Web. In: Proceedings of the ACM Internet Measurement Conference. Association for Computing Machinery; 2020.
30. Santos, C.; Nouwens, M.; Toth, M.; Bielova, N.; Roca, V. Consent management platforms under the GDPR: processors and/or controllers? In: Gruschka N, Antunes LFC, Rannenberg K, Drogkaris P, editors. Privacy Technologies and Policy. Springer International Publishing; 2021. pp. 47–69.
31. Strzelecki A., Rizun M. Consumers' change in trust and security after a personal data breach in online shopping. Sustainability. 2022;14:5866.
32. Raman, P.; Kayacık, H. G.; Somayaji, A. Understanding data leak prevention. In: 6th Annual Symposium on Information Assurance (ASIA'11). Citeseer; 2011. pp. 27–31. Available from: https://people.scs.carleton.ca/soma/pubs/raman-asia2011.pdf.
33. Schoenebeck, S.; Goray, C.; Vadapalli, A.; Andalibi, N. Sensitive inferences in targeted advertising. Northwestern J. Technol. Intell. Prop. 2024, 21, 1. Available from: https://scholarlycommons.law.northwestern.edu/njtip/vol21/iss2/1/.
34. Preston, R. Stifling innovation: how global data protection regulation trends inhibit the growth of healthcare research and start-ups. Emory Int'l L Rev 2022, 37, 135. Available from: https://scholarlycommons.law.emory.edu/eilr/vol37/iss1/4.
35. van Zeeland, I.; Pierson, J. Data protection rsks in transitional times: the case of European Retail Banks. In: CPDP 2022: Data Protection & Privacy in Transitional Times. Bloomsbury Publishing; 2023. pp. 1–26.
36. Gamalielsson J., Lundell B., Butler S., et al. Towards open government through open source software for web analytics: the case of Matomo. JeDEM eJ. eDemocracy Open Gov. 2021;13:133-53.
37. Quintel D., Wilson R. Analytics and privacy: using matomo in EBSCO's discovery service. Information Technology and Libraries. 2020:39.
38. Valdez, C. A glimpse at german privacy laws, from a dark past to the strictest data protection laws in Europe (but There Is Still a Long Way to Go). Rutgers JL & Religion 2016, 18, 430. Available from: https://heinonline.org/HOL/Page?handle=hein.journals/rjlr18&div=22&g_sent=1&collection=journals.