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<h2>Description</h2> In this study, we hypothesized that users perceive specific information as differently private depending on their personal privacy preference, but generally show the same disclosure management pattern: the higher the perceived privacy level of an information, the less frequently it will be shared. We tested the hypothesis using an online survey with 316 German SNS users. The findings suggest that respondents engaged in disclosure management taking both communication channel and type of information into account. We further found that trust towards SNS contacts and use of privacy settings significantly influenced disclosure management in one-to-many (status updates), but not in one-to-one communications situations (chat conversations). The results complement existing research by showing the pivotal role of individual privacy perceptions in explaining users’ privacy management in the social web. <h2>Files and documents</h2> On this page, you can find all files and documents associated with the analyses in the chapter. You can use these files to reproduce all analyses reported in the paper. - For an overview of the results, open "analysis.html" - For the R code used in the analysis, open "analysis.rmd" - The data used for the analyses are in the file "data.csv". - Item formulations and variables codes can be found in the PDF "item_formulations.pdf". <h2>Reproducing the analyses</h2> To reproduce all analyses, download all files into one local folder and control for the following: - R, Rstudio are installed - All R-packages that are used in the code are installed and up-to-date Then proceed with the following steps: - Download all materials and put them into one folder. - Open "analysis.rmd" - Set the working directory to the root folder - Knit the analyses (creates a html-file). <h2>Full paper</h2> Creative Commons Non Commercial CC-BY-NC: The article is distributed under the terms of the Creative Commons AttributionNonCommercial 3.0 License ( which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( It can be downloaded here: [][1] [1]:
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