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Session replay scripts

A privacy analysis

Bibliographic Data

ID11373203
AuthorsFrances 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)
Year2022
Volume38
Issue4
Pages257-268
Publication date2022-08-08
Open AccessNo
TypeARTICLE
VenueThe Information Society (JOURNAL)
Journal identifiersISSN: 0197-2243 • E-ISSN: 1087-6537
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01972243.2022.2078916
OpenAlexW4281723945
LanguageEN
References cited7

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

  • Dialogue and Synthesis

    Eric Jensen, Eric A Jensen et al.•Visitor Studies•2011

Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae