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Journal articles on the topic 'Psychology of privacy'

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1

Small, Mark A., and Pat A. Tetreault. "Social psychology, ‘marital rape exemptions’, and privacy." Behavioral Sciences & the Law 8, no. 2 (1990): 141–49. http://dx.doi.org/10.1002/bsl.2370080206.

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2

PEDERSEN, DARHL M. "MODEL FOR TYPES OF PRIVACY BY PRIVACY FUNCTIONS." Journal of Environmental Psychology 19, no. 4 (1999): 397–405. http://dx.doi.org/10.1006/jevp.1999.0140.

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3

Norberg, Patricia A., and Daniel R. Horne. "Privacy attitudes and privacy-related behavior." Psychology & Marketing 24, no. 10 (2007): 829–47. http://dx.doi.org/10.1002/mar.20186.

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4

Illingworth, A. James. "Big Data in I-O Psychology: Privacy Considerations and Discriminatory Algorithms." Industrial and Organizational Psychology 8, no. 4 (2015): 567–75. http://dx.doi.org/10.1017/iop.2015.85.

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The “big data” movement is forcing many fields to establish best practices for the collection, analysis, and application of big data, and the field of industrial–organizational (I-O) psychology is not exempt from this disruptive influence. Over the last several years, I-O scientists and practitioners have grappled with questions related to the definition, application, and interpretation of big data (e.g., Doverspike, 2013; Maurath, 2014; Morrison & Abraham, 2015; Poeppelman, Blacksmith, & Yang, 2013). The focal article by Guzzo, Fink, King, Tonidandel, and Landis (2015) continues this
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5

Newell, Patricia Brierley. "Perspectives on privacy." Journal of Environmental Psychology 15, no. 2 (1995): 87–104. http://dx.doi.org/10.1016/0272-4944(95)90018-7.

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6

Shariff, Azim, Joe Green, and William Jettinghoff. "The Privacy Mismatch: Evolved Intuitions in a Digital World." Current Directions in Psychological Science 30, no. 2 (2021): 159–66. http://dx.doi.org/10.1177/0963721421990355.

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Although people report grave concern over their data privacy, they take little care to protect it. We suggest that this privacy paradox can be understood in part as the consequence of an evolutionary mismatch: Privacy intuitions evolved in an environment that was radically different from the one found online. This evolved privacy psychology leaves people disconnected from the consequence of online privacy threats.
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7

Pedersen, Darhl M. "PRIVACY PREFERENCES AND CLASSROOM SEAT SELECTION." Social Behavior and Personality: an international journal 22, no. 4 (1994): 393–98. http://dx.doi.org/10.2224/sbp.1994.22.4.393.

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The relationship between privacy preferences and the location of selected seats in a classroom was investigated. Subjects were 17 men and 34 women in an undergraduate psychology class. The location of the seat selected in a rectangular classroom was described according to depth: front, middle, and back. Privacy preferences were measured using Marshalls (1974) Privacy Preference Scale. Those who opted to sit in the back were significantly higher on the Not Neighboring and Seclusion scales.
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8

Pedersen, Darhl M. "PSYCHOLOGICAL FUNCTIONS OF PRIVACY." Journal of Environmental Psychology 17, no. 2 (1997): 147–56. http://dx.doi.org/10.1006/jevp.1997.0049.

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9

Robison, Wade L. "Privacy and Personal Identity." Ethics & Behavior 7, no. 3 (1997): 195–205. http://dx.doi.org/10.1207/s15327019eb0703_2.

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10

Ashtiani, F. Ebrahimi Bad, and M. Mino Sepehr. "Environmental psychology, Privacy in the workplace (analysis of private territory in an office environment)." Journal of Fundamental and Applied Sciences 8, no. 2 (2016): 1829. http://dx.doi.org/10.4314/jfas.v8i2s.123.

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11

Jagadish, H. V. "Circles of Privacy." Journal of Consumer Psychology 30, no. 4 (2020): 774–79. http://dx.doi.org/10.1002/jcpy.1188.

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12

Craddock, Alan E. "The Measurement of Privacy Preferences Within Marital Relationships: The Relationship Privacy Preference Scale." American Journal of Family Therapy 25, no. 1 (1997): 48–54. http://dx.doi.org/10.1080/01926189708251054.

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13

Schonscheck, Jonathan. "Privacy and Discrete "Social Spheres"." Ethics & Behavior 7, no. 3 (1997): 221–28. http://dx.doi.org/10.1207/s15327019eb0703_4.

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14

Newell, Patricia Brierley. "A systems model of privacy." Journal of Environmental Psychology 14, no. 1 (1994): 65–78. http://dx.doi.org/10.1016/s0272-4944(05)80199-9.

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15

Krishna, Aradhna. "Privacy is a Concern: An Introduction to the Dialogue on Privacy." Journal of Consumer Psychology 30, no. 4 (2020): 733–35. http://dx.doi.org/10.1002/jcpy.1186.

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16

Ackerman, Mark, Trevor Darrell, and Daniel J. Weitzner. "Privacy in Context." Human–Computer Interaction 16, no. 2-4 (2001): 167–76. http://dx.doi.org/10.1207/s15327051hci16234_03.

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17

Bute, Jennifer J., Maria Brann, and Rachael Hernandez. "Exploring societal-level privacy rules for talking about miscarriage." Journal of Social and Personal Relationships 36, no. 2 (2017): 379–99. http://dx.doi.org/10.1177/0265407517731828.

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Communication privacy management (CPM) theory posits that culturally specific understandings of privacy guide how people manage private information in everyday conversations. We use the context of miscarriage to demonstrate how societal-level expectations about (in)appropriate topics of talk converge with micro-level decisions about privacy rules and privacy boundary management. More specifically, we explore how people’s perceptions of broad social rules about the topic of miscarriage influence their disclosure decisions. Based on interviews with 20 couples who have experienced pregnancy loss,
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18

Mneimneh, Zeina N., Michael R. Elliott, Roger Tourangeau, and Steven G. Heeringa. "Cultural and Interviewer Effects on Interview Privacy: Individualism and National Wealth." Cross-Cultural Research 52, no. 5 (2018): 496–523. http://dx.doi.org/10.1177/1069397118759014.

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Privacy (or the lack of it) is an important feature of the interview. Researchers rely on interviewers to ensure a private setting. In reality, interviewers are guests in respondents’ homes and might find it difficult to achieve privacy. Thus, a substantial proportion of interviews are conducted in the presence of a third party. We investigate whether there are cultural and interviewer variations in interview privacy and whether respondent characteristics associated with interview privacy vary by culture. We analyzed data from 14 countries. The results highlight the direct and indirect role th
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19

Lemieux, Robert. "Fictional Privacy among Facebook Users." Psychological Reports 111, no. 1 (2012): 289–92. http://dx.doi.org/10.2466/21.01.pr0.111.4.289-292.

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The current study involved the creation of a fictional Facebook account with limited information and was designed to assess whether participants would accept the friendship of an ambiguous, unknown person. Results indicated that 325 Facebook members (72% of the sample) willingly accepted the friendship of the unknown individual. Results are discussed in relation to privacy concerns, norms of reciprocity, and allowing access to potentially embarrassing information and/or pictures.
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20

Pedersen, Darhl M., and Shelia Frances. "Regional Differences in Privacy Preferences." Psychological Reports 66, no. 3 (1990): 731–36. http://dx.doi.org/10.2466/pr0.1990.66.3.731.

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21

Wiesenthal, David L., and Neil I. Wiener. "Privacy and the Human Genome Project." Ethics & Behavior 6, no. 3 (1996): 189–202. http://dx.doi.org/10.1207/s15327019eb0603_2.

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22

Haggard, Lois M., and Carol M. Werner. "Situational Support, Privacy Regulation, and Stress." Basic and Applied Social Psychology 11, no. 3 (1990): 313–37. http://dx.doi.org/10.1207/s15324834basp1103_7.

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23

Silverstein, Judith L. "Secrets versus privacy in group psychotherapy." Group 17, no. 2 (1993): 107–14. http://dx.doi.org/10.1007/bf01427819.

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24

Pedersen, Darhl M. "A FACTORIAL COMPARISON OF PRIVACY QUESTIONNAIRES." Social Behavior and Personality: an international journal 24, no. 3 (1996): 249–61. http://dx.doi.org/10.2224/sbp.1996.24.3.249.

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Types of privacy preferences and their measurement have been obtained through factor analysis. Two prevalent measures are the Privacy Preference Scale (Marshall, 1974) and the Privacy Questionnaire (Pedersen, 1979, 1982). In their development, each yielded six privacy preference scales (some with similar names). To evaluate the comparability of the scales, an analysis was completed using the responses of 174 research participants on the two instruments. Correlations revealed little similarity between the scales of the two measures. Factor analyses showed the Privacy Questionnaire to be more st
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25

Lombardi, Debora Benedetta, and Maria Rita Ciceri. "More than defense in daily experience of privacy: The functions of privacy in digital and physical environments." Europe’s Journal of Psychology 12, no. 1 (2016): 115–36. http://dx.doi.org/10.5964/ejop.v12i1.948.

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The purpose of the current study was to investigate the experience of privacy, focusing on its functional role in personal well-being. A sample (N = 180) comprised subjects between 18 and 50 years of age were asked to spontaneously provide accounts of their experiences with privacy and answer close-ended questions to acquire a description of a daily experience of privacy. The results showed the importance attributed to the function of privacy related to the “defense from social threats”, and the twofold function of privacy related to an “achieved state of privacy”, in the terms of both “system
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26

Weiss, Avrum Geurin. "Privacy and Intimacy." Journal of Humanistic Psychology 27, no. 1 (1987): 118–25. http://dx.doi.org/10.1177/0022167887271009.

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27

Rosenthal, Sonny, Ole-Christian Wasenden, Gorm-Andreas Gronnevet, and Rich Ling. "A tripartite model of trust in Facebook: acceptance of information personalization, privacy concern, and privacy literacy." Media Psychology 23, no. 6 (2019): 840–64. http://dx.doi.org/10.1080/15213269.2019.1648218.

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28

Zayatz, Laura. "Privacy and Confidentiality Resources." Journal of Empirical Research on Human Research Ethics 4, no. 3 (2009): 33–34. http://dx.doi.org/10.1525/jer.2009.4.3.33.

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Several organizations in the United States have a major interest in creating, testing, and using methods of data presentation that respect privacy and assure confidentiality. The following are among those that do so, and provide up-to-date information on these topics for the benefit of others who conduct human research: (1) The Committee on Privacy and Confidentiality of the American Statistical Association; (2) an interagency committee of the federal government, the Federal Committee on Statistical Methodology, and its subcommittees, the Confidentiality and Data Access Committee and the Commi
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29

Tripathi, Nachiketa. "Privacy and control: Are they related?" Psychological Studies 55, no. 2 (2010): 108–17. http://dx.doi.org/10.1007/s12646-010-0014-5.

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30

Chen, Hsuan-Ting. "Revisiting the Privacy Paradox on Social Media With an Extended Privacy Calculus Model: The Effect of Privacy Concerns, Privacy Self-Efficacy, and Social Capital on Privacy Management." American Behavioral Scientist 62, no. 10 (2018): 1392–412. http://dx.doi.org/10.1177/0002764218792691.

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This study builds on the privacy calculus model to revisit the privacy paradox on social media. A two-wave panel data set from Hong Kong and a cross-sectional data set from the United States are used. This study extends the model by incorporating privacy self-efficacy as another privacy-related factor in addition to privacy concerns (i.e., costs) and examines how these factors interact with social capital (i.e., the expected benefit) in influencing different privacy management strategies, including limiting profile visibility, self-disclosure, and friending. This study proposed and found a two
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31

Pedersen, Darhl M. "Correlates of Privacy Regulation." Perceptual and Motor Skills 66, no. 2 (1988): 595–601. http://dx.doi.org/10.2466/pms.1988.66.2.595.

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The California Psychological Inventory and a Privacy Regulation Rating Scale were administered to 35 men and 40 women college students to estimate correlations between personality characteristics and attained privacy. The California Psychological Inventory measured 18 personality traits, and the rating scale assessed the amount of desired privacy actually achieved for six kinds of privacy: Reserve, Isolation, Solitude, Intimacy with Friends, Intimacy with Family, and Anonymity. Pearson product-moment correlations between the two sets of variables indicated distinct and meaningful personality p
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32

Meares, Russell. "A Pathology of Privacy." Contemporary Psychoanalysis 30, no. 1 (1994): 83–100. http://dx.doi.org/10.1080/00107530.1994.10746843.

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33

NORD, CATHARINA. "Architectural space as a moulding factor of care practices and resident privacy in assisted living." Ageing and Society 31, no. 6 (2011): 934–52. http://dx.doi.org/10.1017/s0144686x10001248.

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ABSTRACTThis article presents an analysis of privacy, care practices and architectural space in assisted living in Sweden. The presented research is a qualitative case study. Observations and personal interviews with staff as well as residents were the major data collection methods. The analysis revealed the evasiveness of a private–public dichotomy; that is, how privacy appears in public spaces and how private spaces became public under certain conditions. During the course of a day, the residents' privacy was qualified and structured by caring activities that took place in various spaces and
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34

HARRIS, PAUL B., CAROL M. WERNER, BARBARA B. BROWN, and DAVE INGEBRITSEN. "RELOCATION AND PRIVACY REGULATION: A CROSS-CULTURAL ANALYSIS." Journal of Environmental Psychology 15, no. 4 (1995): 311–20. http://dx.doi.org/10.1006/jevp.1995.0027.

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35

Brooks-Gunn, Jeanne, and Mary Jane Rotheram-Borus. "Rights to Privacy in Research: Adolescents Versus Parents." Ethics & Behavior 4, no. 2 (1994): 109–21. http://dx.doi.org/10.1207/s15327019eb0402_4.

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36

Ravid, Daniel M., Jerod C. White, and Tara S. Behrend. "Implications of COVID-19 for privacy at work." Industrial and Organizational Psychology 14, no. 1-2 (2021): 194–98. http://dx.doi.org/10.1017/iop.2021.29.

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37

Karabenick, Stuart A., and John R. Knapp. "Effects of Computer Privacy on Help-Seeking1." Journal of Applied Social Psychology 18, no. 6 (1988): 461–72. http://dx.doi.org/10.1111/j.1559-1816.1988.tb00029.x.

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38

Proctor, Robert W., and Kim-Phuong L. Vu. "A multimethod approach to examining usability of Web privacy polices and user agents for specifying privacy preferences." Behavior Research Methods 39, no. 2 (2007): 205–11. http://dx.doi.org/10.3758/bf03193149.

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39

Mayo, David J., and Martin Gunderson. "Privacy and the Ethics of Outing." Journal of Homosexuality 27, no. 3-4 (1994): 47–65. http://dx.doi.org/10.1300/j082v27n03_04.

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40

Petronio, Sandra. "Communication Privacy Management Theory: What Do We Know About Family Privacy Regulation?" Journal of Family Theory & Review 2, no. 3 (2010): 175–96. http://dx.doi.org/10.1111/j.1756-2589.2010.00052.x.

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41

Mensch, Scott E., and LeAnn Wilkie. "Smart Phone Security Practices." International Journal of Cyber Behavior, Psychology and Learning 9, no. 3 (2019): 1–14. http://dx.doi.org/10.4018/ijcbpl.2019070101.

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Hand-held cell phone technology has been around for quite some time, however when Apple introduced the iPhone in 2007, the widespread adoption of smartphones took off. Smartphones allow users to communicate via talk, text and video; access personal and work e-mail and the Internet; run applications; make purchases; manage bank accounts; take pictures - and for many of us are an integral part of our everyday (The Privacy Rights Clearinghouse, 2018). Smartphones are “essentially tiny computers, we reach for these devices when we first wake up, bring them with us into the car, and often keep them
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42

Pedersen, Darhl M. "Sex Differences in Privacy Preferences." Perceptual and Motor Skills 64, no. 3_suppl (1987): 1239–42. http://dx.doi.org/10.2466/pms.1987.64.3c.1239.

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A Privacy Questionnaire was administered to 118 male and 142 female college students to determine differences in the patterns of privacy preferences between the sexes. The questionnaire contained factor scales for measuring six independent types of privacy. t-tests showed that the means for women were significantly higher than those for men in their preferences for Intimacy with Family and Intimacy with Friends. On the other hand, for Isolation the mean for men was significantly higher than that for women. There were no significant differences between the means for the two sexes on the remaini
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43

Haans, Antal, Florian G. Kaiser, and Yvonne A. W. de Kort. "Privacy Needs in Office Environments." European Psychologist 12, no. 2 (2007): 93–102. http://dx.doi.org/10.1027/1016-9040.12.2.93.

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Abstract. In this paper, we develop two behavior-based privacy-need measures for office environments. These two new scales are designed as objective measures, since they try to avoid introspection. One scale assesses people's motivation to withdraw from social interaction (i.e., the Need-For-Privacy [NFP]) and the other the motivation to seek social exchange (i.e., the Need-For-Socializing [NFS]). Based on survey data from 204 bank employees, our newly-developed measures demonstrated reasonable reliabilities (> .70). Regarding construct validity, we found our NFP scale to overlap (R2 > 2
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44

Caudill, O. Brandt, and Alan I. Kaplan. "Protecting Privacy and Confidentiality." Journal of Aggression, Maltreatment & Trauma 11, no. 1-2 (2005): 117–34. http://dx.doi.org/10.1300/j146v11n01_10.

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45

Bélanger, France, and Tabitha L. James. "A Theory of Multilevel Information Privacy Management for the Digital Era." Information Systems Research 31, no. 2 (2020): 510–36. http://dx.doi.org/10.1287/isre.2019.0900.

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In the digital era, it is increasingly important to understand how privacy decisions are made because information is frequently perceived as a commodity that is mismanaged. The preponderance of privacy literature focuses on individual-level information privacy concern and personal self-disclosure decisions. We propose that a more versatile multilevel description is required to enable exploration of complex privacy decisions that involve co-owned (i.e., group) information in increasingly sophisticated digital environments. We define the concepts of group and individual information privacy, “we-
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46

Shah, Anuj K., and Jens Ludwig. "Option Awareness: The Psychology of What We Consider." American Economic Review 106, no. 5 (2016): 425–29. http://dx.doi.org/10.1257/aer.p20161098.

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The standard economic view suggests that people will commit an action if its expected benefits outweigh its costs. But before people weigh the costs and benefits of an action, what affects whether they think of the action in the first place? We argue that actions are more likely to enter into consideration when they are cognitively accessible. We describe three psychological parameters that influence accessibility: automatic assumptions, identity, and perceptions of privacy. These parameters make it possible to identify new interventions for behavior change.
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47

Perri, 6. "Who wants privacy protection, and what do they want?" Journal of Consumer Behaviour 2, no. 1 (2002): 80–100. http://dx.doi.org/10.1002/cb.91.

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48

Robson, Stephani K. A. "Scenes from a restaurant: Privacy regulation in stressful situations." Journal of Environmental Psychology 28, no. 4 (2008): 373–78. http://dx.doi.org/10.1016/j.jenvp.2008.03.001.

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49

Kounadi, Ourania, and Bernd Resch. "A Geoprivacy by Design Guideline for Research Campaigns That Use Participatory Sensing Data." Journal of Empirical Research on Human Research Ethics 13, no. 3 (2018): 203–22. http://dx.doi.org/10.1177/1556264618759877.

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Participatory sensing applications collect personal data of monitored subjects along with their spatial or spatiotemporal stamps. The attributes of a monitored subject can be private, sensitive, or confidential information. Also, the spatial or spatiotemporal attributes are prone to inferential disclosure of private information. Although there is extensive problem-oriented literature on geoinformation disclosure, our work provides a clear guideline with practical relevance, containing the steps that a research campaign should follow to preserve the participants’ privacy. We first examine the t
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50

Doll, Beth, William Strein, Susan Jacob, and David P. Prasse. "Youth privacy when educational records include psychological records." Professional Psychology: Research and Practice 42, no. 3 (2011): 259–68. http://dx.doi.org/10.1037/a0023685.

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