{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:18:56Z","timestamp":1781108336761,"version":"3.54.1"},"reference-count":52,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2018,10,22]],"date-time":"2018-10-22T00:00:00Z","timestamp":1540166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The privacy calculus suggests that online self-disclosure is based on a cost\u2013benefit trade-off. However, although companies progressively collect information to offer tailored services, the effect of both personalization and context-dependency on self-disclosure has remained understudied. Building on the privacy calculus, we hypothesized that benefits, privacy costs, and trust would predict online self-disclosure. Moreover, we analyzed the impact of personalization, investigating whether effects would differ for health, news, and commercial websites. Results from an online experiment using a representative Dutch sample (N = 1,131) supported the privacy calculus, revealing that it was stable across contexts. Personalization decreased trust slightly and benefits marginally. Interestingly, these effects were context-dependent: While personalization affected outcomes in news and commerce contexts, no effects emerged in the health context.<\/jats:p>","DOI":"10.1093\/jcmc\/zmy020","type":"journal-article","created":{"date-parts":[[2018,9,4]],"date-time":"2018-09-04T11:41:48Z","timestamp":1536061308000},"page":"370-388","source":"Crossref","is-referenced-by-count":166,"title":["Understanding the Effects of Personalization as a Privacy Calculus: Analyzing Self-Disclosure Across Health, News, and Commerce Contexts"],"prefix":"10.1093","volume":"23","author":[{"given":"Nadine","family":"Bol","sequence":"first","affiliation":[{"name":"Amsterdam School of Communication Research\/ASCoR, University of Amsterdam, Amsterdam, Amsterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Dienlin","sequence":"additional","affiliation":[{"name":"Department of Media Psychology, University of Hohenheim, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanne","family":"Kruikemeier","sequence":"additional","affiliation":[{"name":"Amsterdam School of Communication Research\/ASCoR, University of Amsterdam, Amsterdam, Amsterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marijn","family":"Sax","sequence":"additional","affiliation":[{"name":"Institute for Information Law\/IViR, University of Amsterdam, Amsterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sophie C","family":"Boerman","sequence":"additional","affiliation":[{"name":"Amsterdam School of Communication Research\/ASCoR, University of Amsterdam, Amsterdam, Amsterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joanna","family":"Strycharz","sequence":"additional","affiliation":[{"name":"Amsterdam School of Communication Research\/ASCoR, University of Amsterdam, Amsterdam, Amsterdam, The 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