Session replay scripts
A privacy analysis
Bibliographic Data
| ID | 11373203 |
|---|---|
| Authors | Frances S Grodzinsky (Sacred Heart University), Keith Miller (0000-0001-8314-2757, University of Missouri–St. Louis), Keith W Miller (University of Missouri), Marty J Wolf (0000-0003-0617-942X, Bemidji State University, corresponding author) |
| Year | 2022 |
| Volume | 38 |
| Issue | 4 |
| Pages | 257-268 |
| Publication date | 2022-08-08 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Information Society (JOURNAL) |
| Journal identifiers | ISSN: 0197-2243 • E-ISSN: 1087-6537 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01972243.2022.2078916 |
| OpenAlex | W4281723945 |
| Language | EN |
| References cited | 7 |
Session replay scripts record a user’s actions while visiting a website or using a computer application. These recordings are typically sent to third party companies whose stated purpose is to analyze the recordings to help correct bottlenecks and illuminate problems that are difficult for users to navigate. We examine how session replay scripts are being marketed and how they are used by application developers. The extent of gathered data is intrusive, often going beyond the stated objectives, and often collected without users’ knowledge. Using Nissenbaum’s privacy as contextual integrity framework, we demonstrate how replay scripts violate the norms of both appropriateness and distribution, and hence the privacy of the user. We examine two scenarios: one where the session replay data are sent back to the application developer, and another where captured data are sent to third party companies. We compare the scenarios to two analogous situations: surveys taken at a museum and video surveillance in a brick-and-mortar store. We analyze in detail the case of FullStory, a vendor of session replay scripts. In conclusion, we offer suggestions on how to preserve private information in both scenarios
Authentication (law · Computer security · Internet privacy · Multimedia · Replay attack · Scripting language · Session (web analytics · Vendor · World Wide Web · Computer Science · Internet Traffic Analysis and Secure E-voting · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection
| Highly cited | No |
|---|