Digital Contact Tracing: Examining the Effects of Understanding and Release Organization on Public Trust

• URL: http://arxiv.org/abs/2508.10198v2
• Date: Tue, 02 Sep 2025 18:12:51 GMT
• Title: Digital Contact Tracing: Examining the Effects of Understanding and Release Organization on Public Trust
• Authors: Lucas Draper,
• Abstract summary: 101 U.S. adults were surveyed in June of 2022 regarding their perceptions and trust of COVID-19 contact tracing applications.<n>We see no definitive correlation between an individual's understanding of privacy protection procedures for contact tracing applications and their willingness to trust such an application.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Contact tracing has existed in various forms for a very long time. With the rise of COVID-19, the concept has become increasingly important to help slow the spread of the virus. One approach to modernizing contact tracing is to introduce applications that detect all close contacts without individuals having to interact knowingly. 101 United States adults were surveyed in June of 2022 regarding their perceptions and trust of COVID-19 contact tracing applications. We see no definitive correlation between an individual's understanding of privacy protection procedures for contact tracing applications and their willingness to trust such an application. We also see that the release of the application by a private entity like Google-Apple or by a public entity like the United States Federal Government has no significant correlation with a person's trust in the application.

Related papers

• DNA: Differentially private Neural Augmentation for contact tracing [62.740950398187664]
  Contact tracing is an effective way to reduce infection rates by detecting potential virus carriers early. We substantially improve the privacy guarantees of the current state of the art in decentralized contact tracing. This work marks an important first step in integrating deep learning into contact tracing while maintaining essential privacy guarantees.
  arXiv  Detail & Related papers  (2024-04-20T13:43:28Z)
• Protect Your Score: Contact Tracing With Differential Privacy Guarantees [68.53998103087508]
  We argue that privacy concerns currently hold deployment back. We propose a contact tracing algorithm with differential privacy guarantees against this attack. Especially for realistic test scenarios, we achieve a two to ten-fold reduction in the infection rate of the virus.
  arXiv  Detail & Related papers  (2023-12-18T11:16:33Z)
• The evolving ecosystem of COVID-19 contact tracing applications [0.0]
  Since the outbreak of the novel coronavirus, COVID-19, there has been increased interest in the use of digital contact tracing. Recent studies have predominantly focused on the formation of guidelines for ethical contact tracing. This study examines 152 contact tracing applications and assesses the extent to which they comply with existing guidelines for ethical contact tracing.
  arXiv  Detail & Related papers  (2021-03-19T01:38:19Z)
• GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management [5.8374365691194114]
  Digital apps for contact tracing using Bluetooth technology available in smartphones have gained prevalence globally. We describe the GoCoronaGo institutional contact tracing app that we have developed, and the conscious and sometimes contrarian design choices we have made. We highlight research opportunities and open challenges for digital contact tracing and analytics over temporal networks constructed from them.
  arXiv  Detail & Related papers  (2020-09-10T14:59:59Z)
• Trust and Transparency in Contact Tracing Applications [81.07729301514182]
  The global outbreak of COVID-19 has led to efforts to manage and mitigate the continued spread of the disease. One of these efforts include the use of contact tracing to identify people who are at-risk of developing the disease through exposure to an infected person. There has been significant interest in the development and use of digital contact tracing solutions to supplement the work of human contact tracers. The collection and use of sensitive personal details by these applications has led to a number of concerns by the stakeholder groups with a vested interest in these solutions.
  arXiv  Detail & Related papers  (2020-06-19T20:29:24Z)
• Mind the GAP: Security & Privacy Risks of Contact Tracing Apps [75.7995398006171]
  Google and Apple have jointly provided an API for exposure notification in order to implement decentralized contract tracing apps using Bluetooth Low Energy. We demonstrate that in real-world scenarios the GAP design is vulnerable to (i) profiling and possibly de-anonymizing persons, and (ii) relay-based wormhole attacks that basically can generate fake contacts.
  arXiv  Detail & Related papers  (2020-06-10T16:05:05Z)
• Decentralized Privacy-Preserving Proximity Tracing [50.27258414960402]
  DP3T provides a technological foundation to help slow the spread of SARS-CoV-2. System aims to minimise privacy and security risks for individuals and communities.
  arXiv  Detail & Related papers  (2020-05-25T12:32:02Z)
• A Note on Cryptographic Algorithms for Private Data Analysis in Contact Tracing Applications [7.734726150561088]
  Contact tracing is an important measure to counter the COVID-19 pandemic. We focus on various cryptographic techniques that can help in addressing the Private Set Intersection problem.
  arXiv  Detail & Related papers  (2020-05-19T06:18:13Z)
• How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt [24.202334512830255]
  A growing number of contact tracing apps are being developed to complement manual contact tracing. We evaluate the effect of both accuracy and privacy concerns on reported willingness to install COVID19 contact tracing apps.
  arXiv  Detail & Related papers  (2020-05-09T01:53:52Z)
• Privacy Guidelines for Contact Tracing Applications [19.094312133714023]
  We discuss the scenarios which a contact tracing application should be able to handle. We describe the various threat actors who can disrupt its working, or misuse end user's data. We present privacy guidelines for contact tracing applications from different stakeholder's perspective.
  arXiv  Detail & Related papers  (2020-04-28T06:44:14Z)
• Give more data, awareness and control to individual citizens, and they will help COVID-19 containment [74.10257867142049]
  Contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach raises concerns about citizens' privacy and needlessly strong digital surveillance. We advocate a decentralized approach, where both contact and location data are collected exclusively in individual citizens' "personal data stores"
  arXiv  Detail & Related papers  (2020-04-10T20:30:37Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.