Browsing by Subject "Self-disclosure"

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Cultural differences in social media use, privacy, and self-disclosure : research report on a multicultural study
(2016) Masur, Philipp K.; Trepte, Sabine
This research report presents comparative results from five nations (United States of America, United Kingdom, Germany, the Netherlands, and China) with regard to social media use, self-disclosure, privacy perceptions and attitudes, and privacy behavior in online environments. The data stemmed from an online survey that was conducted from November, 2011, to December, 2011. Across all five nations, N = 1,800 participants completed the survey. The findings suggest that a broad differentiation between Western and Eastern cultures only partly accounted for differences in social media use and privacy behavior. Rather, the results of this report suggest that European countries (United Kingdom, Germany, and the Netherlands) share similar privacy perceptions and show similar behavioral patterns. Non-European cultures (the USA and China) on the other hand, use social media differently. Participants from European countries had generally smaller audiences on social network sites and microblogging platforms, tended to limit the visibility of their postings and profile information more, and used more privacy settings to safeguard their privacy. In particular, German social media users seemed to be guarded, protective, and rather reluctant to participate in online communication. Users from the US, on the other hand, rated privacy-related behavior as less risky and were hence less likely to imply sophisticated privacy strategies. Apart from these findings, the report also shows that there are more commonalities than differences. People from all five countries think that it is important to protect privacy. Most users consciously decides what to share and what not to share. Accordingly, social media users do not always share intimate and detailed information about their lives.
A gendered perspective on online privacy and self-disclosure
(2024) Frener, Regine; Trepte, Sabine
In research on online privacy and self-disclosure, gender is commonly included as a potentially predictive variable. The results are heterogeneous and sometimes controversial; explanations are often lacking or based on stereotypical assumptions. With this dissertation, I seek to provide a gender-focused perspective on online privacy and self-disclosure by taking a closer look at gender effects in privacy-related outcomes, studying the implementation of gender as a research variable, and investigating how gender is related to people’s inherent need for privacy. To this end, I present a short introduction in the first chapter, followed by four publications: a book chapter on privacy and gender (Study 1), a systematic literature review (Study 2), an empirical investigation of gender effects in privacy behavior (Study 3), and the development of the Need for Privacy Scale (NFP-S; Study 4). In Study 1, the book chapter, I summarize key theoretical advancements in gender and privacy research in line with the feminist movement. Further, empirical findings on gender disparities are presented from a communication science perspective. I discuss the ongoing gender-based digital divide as well as risks associated with automatic gender categorization. Lastly, I address the problems of conceptualizing gender as a binary, static variable, and propose alternative perspectives for more equitable treatment. In Study 2, my co-author Prof. Dr. Sabine Trepte and I examine how scholars in the field of online privacy incorporate gender into their research. For n = 107 articles reporting gender effects (or a lack thereof), we assess whether gender theory is included, to what extent it is referred to, and what function it serves. The results show that in most studies, gender is undertheorized, resulting in reduced explanatory power and the risk of gender essentialism. To meet the need for gender theorization in online privacy research we identified in Study 2, I present an empirical investigation of the social web gendered privacy model (Thelwall, 2011) in Study 3. The model aims to link gender differences in online privacy concerns, data protection behavior and online self-disclosure and explain them via gender differences in offline factors. Using longitudinal data (n = 1,043), I found partial support for the relationships between the privacy-related variables as well as for the transfer from offline to online contexts. The expected gender differences did not arise consistently, which challenges the model’s claim that women constitute an especially vulnerable population regarding social media usage. To offer added value for the broader field of privacy-related research, my co-authors Jana Dombrowski and Prof. Dr. Sabine Trepte and I present the Need for Privacy Scale (NFP-S) in Study 4. The NFP-S is a concise measure of the need for privacy as a personality trait, developed to be applied in any context. Against the theoretical backdrop of Burgoon’s (1982) privacy dimensions, we propose a second-order model with informational, psychological, and physical need for privacy as the first-order factors. In two large-scale surveys (Study 1: n1 = 3,278; n2 = 1,226; Study 2: N = 1,000), the scale was validated with regard to relevant personality traits, privacy-related cognitive criteria and behaviors as well as socio-demographic variables. With the goal of disentangling (biological) sex and gender, we include self-assessed femininity and masculinity. We find that congruity between participants’ perception of their femininity/masculinity and their sex is related to a higher need for privacy. In the overall discussion, I combine insights from the studies, provide ideas for future research, and offer societal and practical implications. Taken together, the four studies contribute to the field of online privacy by emphasizing the psychological perspective of gender as a socially constructed, multifaceted, and dynamic construct. Adopting this view is desirable for privacy researchers, as it helps to better understand privacy-related attitudes and decision-making, hence increasing overall validity. Furthermore, a differentiated understanding of gender is needed to prevent oversimplifications and stereotyping and to promote ethical and fair research.
Privacy, self-disclosure, social support, and social network site use : research report of a three-year panel study
(2013) Trepte, Sabine; Dienlin, Tobias; Reinecke, Leonard
This research report presents data from a study conducted in Germany based on a 3-year panel design. From October 2009 to April 2012, five waves of data collection were established. N = 327 participants from a convenience sample gave answers to questions regarding media use, privacy behaviors, well-being, social support, authenticity, and specific online experiences with a particular emphasis on social network sites (SNSs). It was found that across the 3 years of the study, people increasingly gained online social capital, developed a greater need for privacy, started to disclose more personal information online, and continually spent more time on SNSs. At the same time, people's willingness to disclose information in offline settings as well as their risk assessment of SNSs significantly decreased over time. Furthermore, frequent users of SNSs had more online social capital than less frequent users, disclosed more personal information online, knew more ways to restrict the access to their profiles, and were more authentic in their online profiles. People who had a higher need for privacy were less satisfied with their lives, less authentic in both their personal relationships and their online profiles, and generally showed more negative effects on different psychological variables. Respondents who had more online social capital also reported having more general positive affect and more offline social support. In the research report, further results are reported: Each variable is presented both individually and in context with other measures. The study is the first longitudinal study on online privacy and as such the first to be able to report mutual causalities between online experiences and privacy behaviors.