Dataset on Actual Users of the Privacy-Enhancing Technology Tor

Harborth, D. and Pape, S.

IEEE Dataport, 2020


This dataset was collected for research conducted within the project AN.ON-Next funded by the German Federal Ministry of Education and Research (BMBF) with grant number: 16KIS0371. The dataset is based on an online survey with actual users of the Tor technology. The dataset includes - among others - constructs from different established models of the literature like the technology acceptance model (TAM) by Davis (1985) and the Internet Users Information Privacy Concerns (IUIPC) model by Malhotra et al. (2004). Furthermore, there are extensive questions on privacy literacy covered by the online privacy literacy scale (OPLIS) by Masur et al. (2017).

PDFDOILinkLink Dataset DatasetBibtexprivacypetsmethodologyanon


  author      = {David Harborth and Sebastian Pape},
  title       = {Dataset on Actual Users of the Privacy-Enhancing Technology Tor},
  month       = {01},
  year        = {2020},
  doi         = {10.21227/734p-nx67},
  keywords    = {privacy, ANON, methodology, PETs},
  publisher   = {IEEE Dataport},
  url         = {},