Using privacy calculus theory to understand the effects of personalization: Analyzing self-disclosure across health, news, and commerce contexts

N. Bol; Tobias Dienlin; S. Kruikemeier; M. Sax; S.C. Boerman; J. Strycharz; N. Helberger; C.H. de Vreese

Using privacy calculus theory to understand the effects of personalization: Analyzing self-disclosure across health, news, and commerce contexts

N. Bol, Tobias Dienlin, S. Kruikemeier, M. Sax, S.C. Boerman, J. Strycharz, N. Helberger, C.H. de Vreese

Research output: Contribution to conference › Paper › Other research output

Original language	English
Publication status	Published - Feb 2018
Externally published	Yes

Cite this

@conference{8cea8e96d84a48aa9482dd2652f39642,

title = "Using privacy calculus theory to understand the effects of personalization: Analyzing self-disclosure across health, news, and commerce contexts",

author = "N. Bol and Tobias Dienlin and S. Kruikemeier and M. Sax and S.C. Boerman and J. Strycharz and N. Helberger and {de Vreese}, C.H.",

year = "2018",

month = feb,

language = "English",

}