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ReporTor: Facilitating User Reporting of Issues Encountered in Naturalistic Web Browsing via Tor Browser
Proceedings on Privacy Enhancing Technologies, Volume: 2026, Issue: 1, Pages: 393 - 410
Swansea University Author:
Nicholas Micallef
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© 2026 Copyright held by the owner/author(s). This work is licensed under the Creative Commons Attribution 4.0 International License.
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DOI (Published version): 10.56553/popets-2026-0020
Abstract
The privacy properties of Tor Browser and the privacy sensitivity of its user base preclude the collection of traditional telemetry and analytics to understand the problems users face. To address the lack of telemetry and analytics, we developed ReporTor, a plugin to facilitate anonymous, voluntary...
| Published in: | Proceedings on Privacy Enhancing Technologies |
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| ISSN: | 2299-0984 |
| Published: |
Privacy Enhancing Technologies Board
2026
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70986 |
| Abstract: |
The privacy properties of Tor Browser and the privacy sensitivity of its user base preclude the collection of traditional telemetry and analytics to understand the problems users face. To address the lack of telemetry and analytics, we developed ReporTor, a plugin to facilitate anonymous, voluntary reporting of problems during naturalistic browsing via Tor Browser. We confirmed the utility and effectiveness of ReporTor by reporting the problems we encountered during a month of naturalistic web browsing via Tor Browser. Reports submitted via ReporTor enabled nuanced, in-depth analysis of the causes underlying the reported problems. Integrating ReporTor into Tor Browser can leverage its anonymous user-driven issue reporting to surface the challenges users encounter when visiting websites with Tor Browser. Analyzing and addressing the reports can enhance the user experience of Tor Browser for everyday web browsing. |
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| Keywords: |
Tor, Tor Browser, User Experience, Privacy, Anonymity, Issue Reports |
| College: |
Faculty of Science and Engineering |
| Funders: |
This work is supported by UID/04516/NOVA Laboratory for Computer Science and Informatics (NOVA LINCS) with the financial support of FCT.IP. |
| Issue: |
1 |
| Start Page: |
393 |
| End Page: |
410 |

