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297 results on '"Privacy risk"'

102. YES, FIRMS HAVE MY DATA BUT WHAT DOES IT MATTER? MEASURING PRIVACY RISKS.

Author

Karwatzki, Sabrina, Trenz, Manuel, and Veit, Daniel

Subjects
PRIVACY, QUANTITATIVE research, QUALITATIVE research, RISK, SOCIAL psychology
Abstract

In their daily lives, individuals continuously encounter situations where they disclose personal information online. While individuals can largely benefit from personalized, convenient service offerings, many people are at the same time concerned about an invasion of their information privacy based on how organisations access and handle their data. Although we know that specific feared consequences shape our behaviour, little attention has been paid to which noticeable privacy risks can arise for individuals when their privacy is invaded. We differentiate between seven types of negative consequences that individuals perceive if their privacy is invaded, namely physical, social, resource-related, psychological, prosecution-related, career-related, and freedom-related risks. In a comprehensive and rigorous scale development process, we validate scales for our multidimensional privacy risk construct following the approach of MacKenzie et al. (2011). Based on several steps of qualitative and quantitative assessment, we demonstrate the reliability, validity, and usefulness of our measurement instrument. [ABSTRACT FROM AUTHOR]

Published
2018

103. Using Experiential Learning to Effectively Inform People About Web Privacy Risks.

Author

Ernst, Claus-Peter H., Malzahn, Birte, and Simbeck, Katharina

Subjects
LEARNING, CONSTRUCTIVISM (Architecture), CONTROL groups, DIGITAL technology, DATA privacy
Abstract

Using the web carries risks for people's privacy. In order to enable people to protect themselves, they need to know about the potential threats associated with surfing the web. Based on the theory of constructivism, we argue that people better assimilate knowledge regarding privacy risks on the web when they actively experience these risks, rather than passively learn about them. More specifically, we hypothesize that methods requiring high learner engagement are more effective at conveying web privacy risks than those that require low learner engagement. In order to empirically evaluate our hypothesis, we plan to conduct an experiment. More specifically, we seek to compare the privacy risk levels of three groups: a control group, a group that simply reads about the potential negative outcomes of being tracked, and a group that experiences their individual surfing behavior being tracked. [ABSTRACT FROM AUTHOR]

Published
2018

104. Privacy Risks from Public Data Sources

Author

Tzermias, Zacharias, Prevelakis, Vassilis, Ioannidis, Sotiris, Cuppens-Boulahia, Nora, editor, Cuppens, Frédéric, editor, Jajodia, Sushil, editor, Abou El Kalam, Anas, editor, and Sans, Thierry, editor

Published
2014
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105. Integrating Anonymous Credentials with eIDs for Privacy-Respecting Online Authentication

Author

Bjones, Ronny, Krontiris, Ioannis, Paillier, Pascal, Rannenberg, Kai, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Preneel, Bart, editor, and Ikonomou, Demosthenes, editor

Published
2014
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106. Enhancing Privacy by Design from a Developer’s Perspective

Author

Bier, Christoph, Birnstill, Pascal, Krempel, Erik, Vagts, Hauke, Beyerer, Jürgen, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Preneel, Bart, editor, and Ikonomou, Demosthenes, editor

Published
2014
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107. C3P: Context-Aware Crowdsourced Cloud Privacy

Author

Harkous, Hamza, Rahman, Rameez, Aberer, Karl, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, De Cristofaro, Emiliano, editor, and Murdoch, Steven J., editor

Published
2014
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109. Identifying incompleteness in privacy policy goals using semantic frames.

Author

Bhatia, Jaspreet, Evans, Morgan C., and Breaux, Travis D.

Subjects
*RISK perception, *PRIVACY, *NATURAL language processing
Abstract

Companies that collect personal information online often maintain privacy policies that are required to accurately reflect their data practices and privacy goals. To be comprehensive and flexible for future practices, policies contain ambiguity that summarizes practices over multiple types of products and business contexts. Ambiguity in data practice descriptions undermines policies as an effective way to communicate system design choices to users and as a reliable regulatory mechanism. In this paper, we report an investigation to identify incompleteness by representing data practice descriptions as semantic frames. The approach is a grounded analysis to discover which semantic roles corresponding to a data action are needed to construct complete data practice descriptions. Our results include 698 data action instances obtained from 949 manually annotated statements across 15 privacy policies and three domains: health, news and shopping. Therein, we identified 2316 instances of 17 types of semantic roles and found that the distribution of semantic roles across the three domains was similar. Incomplete data practice descriptions undermine user comprehension and can affect the user's perceived privacy risk, which we measure using factorial vignette surveys. We observed that user risk perception decreases when two roles are present in a statement: the condition under which a data action is performed, and the purpose for which the user's information is used. [ABSTRACT FROM AUTHOR]

Published
2019
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110. The effect of role conflict on self‐disclosure in social network sites: An integrated perspective of boundary regulation and dual process model.

Author

Liu, Zilong, Wang, Xuequn, Min, Qingfei, and Li, Wenli

Subjects
ONLINE social networks, SOCIAL media, INFORMATION processing, ROLE conflict, LIFE skills, EXPERIMENTS
Abstract

As people increasingly integrate social network sites (SNSs) into their daily lives, their social connections on SNSs become more diverse, including their friends, co‐workers, and relatives. In such a context, users may receive different role expectations from their various social circles and experience role conflict in their usage of SNSs. Furthermore, previous literature suggests that people may not always make privacy‐related decisions through effortful and deliberate information processing. Drawing on the perspective of boundary regulation and dual process theories, this study clarifies the consequences of role conflict on SNSs. A theoretical model is developed to examine the effect of role conflict regarding privacy risk and perceived control, which, in turn, impact self‐disclosure behaviour, as well as how this process is moderated by high‐ versus low‐effort processing. The results of 4 experiments provide strong support for our model. The implications for theory and practice are discussed. [ABSTRACT FROM AUTHOR]

Published
2019
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111. Fast De-anonymization of Social Networks with Structural Information.

Author

Shao, Yingxia, Liu, Jialin, Shi, Shuyang, Zhang, Yuemei, and Cui, Bin

Subjects
SOCIAL networks, INFORMATION networks, INTERNET privacy, DATA privacy, PRIVACY
Abstract

Ever since the social networks became the focus of a great number of researches, the privacy risks of published network data have also raised considerable concerns. To evaluate users' privacy risks, researchers have developed methods to de-anonymize the networks and identify the same person in the different networks. However, the existing solutions either require high-quality seed mappings for cold start, or exhibit low accuracy without fully exploiting the structural information, and entail high computation expense. In this paper, we propose a fast and effective seedless network de-anonymization approach simply relying on structural information, named RoleMatch. RoleMatch equips with a new pairwise node similarity measure and an efficient node matching algorithm. Through testing RoleMatch with both real and synthesized social networks, which are anonymized by several popular anonymization algorithms, we demonstrate that the RoleMatch receives superior performance compared with existing de-anonymization algorithms. [ABSTRACT FROM AUTHOR]

Published
2019
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112. DETERMINANTS OF MOBILE PAYMENT USAGE AND THE MODERATING EFFECT OF GENDER: EXTENDING THE UTAUT MODEL WITH PRIVACY RISK.

Author

Jin-Myong Lee, Bohan Lee, and Jong-Youn Rha

Subjects
MOBILE commerce, SOCIAL influence, PRIVACY, GENDER, DATA privacy
Abstract

Mobile payment is an emerging and important application for e-commerce and traditional offline commerce. This study investigates the determinants of the intention to use mobile payment services (MPS) and the extent to which these relationships are moderated by gender. For this purpose, a conceptual model is proposed by extending the UTAUT model with perceived risk. Data are from a web-based survey conducted using South Korean consumers (n = 528). Structural equation results reveal that performance expectancy and social influence have a positive effect on the intention to use MPS, whereas privacy risk has a negative effect. Gender was found to moderate two paths in the model, such that a high level of facilitating conditions increased the intention to use MPS for males but not for females, whereas privacy risk decreased the intention to use MPS for females but not for males. Theoretical and managerial implications for researchers and marketing practitioners are also discussed. [ABSTRACT FROM AUTHOR]

Published
2019
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113. Implementing next generation privacy and ethics research in education technology

Author

Ruth Marshall, Abelardo Pardo, David Smith, Tony Watson, Marshall, Ruth, Pardo, Abelardo, Smith, David, and Watson, Tony

Subjects
learning analytics, data privacy, data ethics, differential privacy, privacy risk, privacy risk reduction, privacy enhancing technologies, Education
Abstract

For the developers of next-generation education technology (EdTech), the use of Learning Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast becoming ubiquitous. At its core LA involves the use of Artificial Intelligence and Analytics on the data generated by technology-mediated learning to gain insights into how students learn, especially for large cohorts, which was unthinkable only a few decades ago. This LA growth-spurt coincides with a growing global “Ethical AI” movement focussed on resolving questions of personal agency, freedoms, and privacy in relation to AI and Analytics. At this time, there is a significant lack of actionable information and supporting technologies, which would enable the goals of these two communities to be aligned. This paper describes a collaborative research project that seeks to overcome the technical and procedural challenges of running a data-driven collaborative research project within an agreed set of privacy and ethics boundaries. The result is a reference architecture for ethical research collaboration and a framework, or roadmap, for privacy-preserving analytics which will contribute to the goals of an ethical application of learning analytics methods. Refereed/Peer-reviewed

Published
2022

114. The Antecedents of Customer Satisfaction in the Portuguese Telecommunications Sector

Author

Sandrina Teixeira and José Torrão Pinheiro

Subjects
telecommunications, Renewable Energy, Sustainability and the Environment, customer loyalty, customer satisfaction, Geography, Planning and Development, trust, Building and Construction, privacy risk, Management, Monitoring, Policy and Law, service quality, perceived value
Abstract

This study’s primary goal is to examine the elements that affect customer loyalty and satisfaction with Portuguese telecommunications. Indeed, customer loyalty and satisfaction are crucial factors in guaranteeing the success and expansion of the services sector. Furthermore, it aims to include customers’ privacy perceptions in a thorough model. A structured questionnaire was adapted from previous studies in the field, collecting a total of 357 valid responses. The suggested hypotheses were tested using multiple statistical techniques to assess the reliability and validity of the gathered data, culminating with path analysis through Structural Equation Modelling. The research results demonstrate that consumer loyalty is highly impacted by satisfaction. On the other hand, service quality significantly influences customer satisfaction, whereas trust and perceived value have a positive yet insignificant impact on this construct. Additionally, perceptions of privacy risk were found to affect customer trust positively and significantly. Considering that the data used for this analysis were collected exclusively in the Portuguese market, inferring the same findings in different countries should be made prudently. As this study only comprised of one of the perceived value dimensions, the results associated with this construct should also have that in mind.

Published
2023
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116. A Study Using TAM on the Recognition of Individuals’ Privacy and the Acceptance of Risk : –The Case of Japanese Internet Users–

Author

Komatsu, Ayako, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Marinos, Louis, editor, and Askoxylakis, Ioannis, editor

Published
2013
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135. Differentially Private Projected Histograms: Construction and Use for Prediction

Author

Vinterbo, Staal A., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Flach, Peter A., editor, De Bie, Tijl, editor, and Cristianini, Nello, editor

Published
2012
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136. A Privacy-Protecting Architecture for Collaborative Filtering via Forgery and Suppression of Ratings

Author

Parra-Arnau, Javier, Rebollo-Monedero, David, Forné, Jordi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Garcia-Alfaro, Joaquin, editor, Navarro-Arribas, Guillermo, editor, Cuppens-Boulahia, Nora, editor, and de Capitani di Vimercati, Sabrina, editor

Published
2012
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137. Evaluating the Privacy Risk of Location-Based Services

Author

Freudiger, Julien, Shokri, Reza, Hubaux, Jean-Pierre, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Danezis, George, editor

Published
2012
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141. Sharing Data for Public Security

Author

Bezzi, Michele, Montagnon, Gilles, Salzgeber, Vincent, Trabelsi, Slim, Bezzi, Michele, editor, Duquenoy, Penny, editor, Fischer-Hübner, Simone, editor, Hansen, Marit, editor, and Zhang, Ge, editor

Published
2010
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142. A Privacy-Preserving Architecture for the Semantic Web Based on Tag Suppression

Author

Parra-Arnau, Javier, Rebollo-Monedero, David, Forné, Jordi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Katsikas, Sokratis, editor, Lopez, Javier, editor, and Soriano, Miguel, editor

Published
2010
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143. Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology.

Author

Chopdar, Prasanta Kr., Korfiatis, Nikolaos, Sivakumar, V.J., and Lytras, Miltiades D.

Subjects
*CELL phones, *PRIVACY, *MOBILE apps, *PSYCHOLOGY, *CONSUMER attitudes, *SHOPPING, *THEORY, *MEDICAL ethics, *INFORMATION technology
Abstract

Consumer adoption of mobile shopping apps is an emerging area in m-commerce which poses an interesting challenge for retailers and app developers. In this study, we adapt the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to investigate factors predicting consumer behavioral intention (BI) and use behavior (UB) towards mobile shopping apps, considering the impact of two manifestations of consumer's perceived risk: Privacy Risk and Security Risk. Because cultural characteristics may moderate the impact of these risks on behavioral intention and use behavior, we conduct two studies from two consumer panels from countries with significant difference in technology use as captured by the Computer-Based Media Support Index (CMSI), namely India (high CMSI) and USA (low CMSI). For both countries, the baseline UTAUT 2 constructs predict the Behavioral Intention to use mobile shopping apps (and subsequently use behavior). However, the manifestations of perceived risk are significant only for the country with the highest CMSI score, suggesting that cultural influences play a strong role in the adoption of m-shopping. Our study has practical implications for theory as it poses the use of m-shopping apps in a cross-cultural context, suggesting that privacy and security moderate intention to use differently across cultures as predicted by the CMSI. From that perspective, it also has practical implications for consumer behavior researchers and app developers challenged with app localization as well as retailers designing mobile shopping apps for an intercultural audience. [ABSTRACT FROM AUTHOR]

Published
2018
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144. Self-concepts in cyber censorship awareness and privacy risk perceptions: What do cyber asylum-seekers have?

Author

Jin, Chang-Hyun

Subjects
*CENSORSHIP, *MEDICAL ethics, *PRIVACY, *SELF-disclosure, *SELF-perception, *SURVEYS, *WORLD Wide Web
Abstract

The aim of this research was to investigate the role cyber asylum-seekers’ self-concepts play in cyber censorship awareness as well as the effects of privacy risk perceptions and privacy concerns on the behavioral intention to seek cyber asylum. The study examined how the self-concepts of cyberspace users affected their awareness of cyber censorship (where a self-concept comprises six elements—self-disclosure, self-efficacy, self-assertion, social presence, self-esteem, and self-identity). Based on consumer panel data from a survey of cyberspace surfers (n = 1500), the results revealed that online media users’ self-concepts played an important role in making them aware of cyber censorship and explained how cyber censorship awareness affected privacy risk perceptions and privacy concerns. Theoretical and practical implications of the findings and limitations of the study as well as directions for future research are discussed. [ABSTRACT FROM AUTHOR]

Published
2018
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146. RequestPolicy: Increasing Web Browsing Privacy through Control of Cross-Site Requests

Author

Samuel, Justin, Zhang, Beichuan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goldberg, Ian, editor, and Atallah, Mikhail J., editor

Published
2009
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147. Bluetooth Tracking without Discoverability

Author

Hay, Simon, Harle, Robert, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Choudhury, Tanzeem, editor, Quigley, Aaron, editor, Strang, Thomas, editor, and Suginuma, Koji, editor

Published
2009
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