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How private is your mental health app data? An empirical study of mental health app privacy policies and practices
14 references·0 citing·44 second hop
How private is your mental health app data? An empirical study of mental health app privacy policies and practices (2019)How private is your mental health app dat…Third Party Tracking in the Mobile Ecosystem (2018)Third Party Tracking in the M…Mental Health Messages in Prominent Mental Health Apps (2018)Mental Health Messages in Pro…Apps, Trackers, Privacy, and Regulators: A Global Study of the Mobile Tracking Ecosystem (2018)Apps, Trackers, Privacy, and …Needed Innovation in Digital Health and Smartphone Applications for Mental Health (2017)Needed Innovation in Digital …2018 Reform Of Eu Data Protection Rules (2017)2018 Reform Of Eu Data Protec…The Black Box Society: The Secret Algorithms That Control Money and Information (2016)The Black Box Society: The Se…Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment (2015)Unaddressed privacy risks in …The black box society: the secret algorithms that control money and information (2015)The black box society: the se…Technological innovations in mental healthcare: harnessing the digital revolution (2015)Technological innovations in …Current research and trends in the use of smartphone applications for mood disorders (2015)Current research and trends i…Availability and quality of mobile health app privacy policies (2014)Availability and quality of m…The future is in our hands: The role of mobile phones in the prevention and management of mental disorders (2013)The future is in our hands: T…State of the e-mental health field in Australia: Where are we now? (2013)State of the e-mental health …Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review (2013)Smartphones for Smarter Deliv…The Measurement of Observer Agreement for Categorical Data (1977)Privacy in e-commerce (1999)Information Privacy Research: an Interdisciplinary Review1 (2011)Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis (2019)Archetypes of Gamification: Analysis of mHealth Apps (2020)Speech as a Biomarker for Depression (2021)How to Write a Systematic Review (2007)Adherence in Internet Interventions for Anxiety and Depression (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments (2016)The Lancet Psychiatry Commission on psychological treatments research in tomorrow's science (2018)Emotional distress in young adults during the COVID-19 pandemic: evidence of risk and resilience from a longitudinal cohort study (2020)Internet of Things – New security and privacy challenges (2010)Problematic smartphone use: Digital approaches to an emerging public health problem (2018)Assessment of the Data Sharing and Privacy Practices of Smartphone Apps for Depression and Smoking Cessation (2019)The PHQ-9 (2001)Acceptability of Interventions Delivered Online and Through Mobile Phones for People Who Experience Severe Mental Health Problems: A Systematic Review (2016)Depression and emotion regulation predict objective smartphone use measured over one week (2017)Working alliance and outcome effectiveness in videoconferencing psychotherapy: A systematic review and noninferiority meta‐analysis (2018)Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011)mHealth for mental health: Integrating smartphone technology in behavioral healthcare. (2011)Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial (2012)Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. (2015)Supporting Homework Compliance in Cognitive Behavioural Therapy: Essential Features of Mobile Apps (2017)Assessing Therapeutic Alliance in the Context of mHealth Interventions for Mental Health Problems: Development of the Mobile Agnew Relationship Measure (mARM) Questionnaire (2018)The Structure of Scientific Revolutions (1963)Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality (2015)User Engagement in Mental Health Apps: A Review of Measurement, Reporting, and Validity (2019)Insights from user reviews to improve mental health apps (2020)Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials (2022)Online Tracking (2016)“Won’t Somebody Think of the Children?” Examining COPPA Compliance at Scale (2018)MAPS: Scaling Privacy Compliance Analysis to a Million Apps (2019)A NEW MEASURE OF RANK CORRELATION (1938)Automated Experiments on Ad Privacy Settings (2015)The Economics of Privacy (2016)Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem (2019)Agreeing to Surveillance: Digital News Privacy Policies (2020)The social power of algorithms (2016)Thinking critically about and researching algorithms (2016)Weaponized Interdependence: How Global Economic Networks Shape State Coercion (2019)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics (2020)Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)
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References

  • 2016The Black Box Society: The Secret Algorithms That Control Money and Information1,319 cited
  • 2013Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review1,135 cited
  • 2015The black box society: the secret algorithms that control money and information533 cited
  • 2015Technological innovations in mental healthcare: harnessing the digital revolution375 cited
  • 2015Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment375 cited
  • 2017Needed Innovation in Digital Health and Smartphone Applications for Mental Health361 cited
  • 2014Availability and quality of mobile health app privacy policies359 cited
  • 2018Apps, Trackers, Privacy, and Regulators: A Global Study of the Mobile Tracking Ecosystem260 cited
  • 2018Third Party Tracking in the Mobile Ecosystem163 cited
  • 2013The future is in our hands: The role of mobile phones in the prevention and management of mental disorders126 cited
  • 20172018 Reform Of Eu Data Protection Rules124 cited
  • 2015Current research and trends in the use of smartphone applications for mood disorders121 cited
  • 2013State of the e-mental health field in Australia: Where are we now?67 cited
  • 2018Mental Health Messages in Prominent Mental Health Apps58 cited

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