Published on in Vol 6 , No 1 (2018) :January

Privacy Policies for Apps Targeted Toward Youth: Descriptive Analysis of Readability

Privacy Policies for Apps Targeted Toward Youth: Descriptive Analysis of Readability

Privacy Policies for Apps Targeted Toward Youth: Descriptive Analysis of Readability

Journals

  1. Nikolaou C, Tay Z, Leu J, Rebello S, Te Morenga L, Van Dam R, Lean M. Young People’s Attitudes and Motivations Toward Social Media and Mobile Apps for Weight Control: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(10):e11205 View
  2. Estrada-Galiñanes V, Wac K, Hoehndorf R. Collecting, exploring and sharing personal data: Why, how and where. Data Science 2020;3(2):79 View
  3. O'Loughlin K, Neary M, Adkins E, Schueller S. Reviewing the data security and privacy policies of mobile apps for depression. Internet Interventions 2019;15:110 View
  4. Gindidis S, Stewart S, Roodenburg J. Psychologists’ motivations for integrating apps into therapy with secondary school-aged young people. Journal of Psychologists and Counsellors in Schools 2020;30(1):2 View
  5. Holzmann S, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31 View
  6. Pagoto S, Nebeker C. How scientists can take the lead in establishing ethical practices for social media research. Journal of the American Medical Informatics Association 2019;26(4):311 View
  7. Hochheiser H, Valdez R. Human-Computer Interaction, Ethics, and Biomedical Informatics. Yearbook of Medical Informatics 2020;29(01):093 View
  8. Shin W, Lwin M, Yee A, Kee K. The role of socialization agents in adolescents’ responses to app-based mobile advertising. International Journal of Advertising 2020;39(3):365 View
  9. Lattie E, Lipson S, Eisenberg D. Technology and College Student Mental Health: Challenges and Opportunities. Frontiers in Psychiatry 2019;10 View
  10. Cahan E, Mittal V, Shah N, Thadaney-Israni S. Achieving a Quintuple Aim for Telehealth in Pediatrics. Pediatric Clinics of North America 2020;67(4):683 View
  11. Qu C, Sas C, Daudén Roquet C, Doherty G. Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation. JMIR Mental Health 2020;7(1):e15321 View
  12. Wong C, Madanay F, Ozer E, Harris S, Moore M, Master S, Moreno M, Weitzman E. Digital Health Technology to Enhance Adolescent and Young Adult Clinical Preventive Services: Affordances and Challenges. Journal of Adolescent Health 2020;67(2):S24 View
  13. Ni Z, Wang Y, Qian Y. Privacy Policy Compliance of Chronic Disease Management Apps in China: Scale Development and Content Evaluation. JMIR mHealth and uHealth 2021;9(1):e23409 View
  14. Chatzimichali A, Harrison R, Chrysostomou D. Toward privacy-sensitive human–robot interaction: Privacy terms and human–data interaction in the personal robot era. Paladyn, Journal of Behavioral Robotics 2020;12(1):160 View
  15. Tang J, Shoemaker H, Lerner A, Birrell E. Defining Privacy: How Users Interpret Technical Terms in Privacy Policies. Proceedings on Privacy Enhancing Technologies 2021;2021(3):70 View
  16. Shipp L, Blasco J. How private is your period?: A systematic analysis of menstrual app privacy policies. Proceedings on Privacy Enhancing Technologies 2020;2020(4):491 View

Books/Policy Documents

  1. Khan Z, Ahmed R, Sen D. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. View
  2. Khan Z, Ahmed R, Sen D. Research Anthology on Securing Mobile Technologies and Applications. View
  3. Khan Z, Ahmed R, Sen D. Research Anthology on Privatizing and Securing Data. View