Alle Publikationen
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2015
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(2015): Implicit Contextual Integrity in Online Social Networks. In: Information Sciences 325, S. 48-69. DOI: 10.1016/j.ins.2015.07.013
Abstract: Many real incidents demonstrate that users of Online Social Networks need mechanisms that help them manage their interactions by increasing the awareness of the different contexts that coexist in Online Social Networks and preventing them from exchanging inappropriate information in those contexts or disseminating sensitive information from some contexts to others. Contextual integrity is a privacy theory that conceptualises the appropriateness of information sharing based on the contexts in which this information is to be shared. Computational models of Contextual Integrity assume the existence of well-defined contexts, in which individuals enact pre-defined roles and information sharing is governed by an explicit set of norms. However, contexts in Online Social Networks are known to be implicit, unknown a priori and ever changing; users relationships are constantly evolving; and the information sharing norms are implicit. This makes current Contextual Integrity models not suitable for Online Social Networks. In this paper, we propose the first computational model of Implicit Contextual Integrity, presenting an information model for Implicit Contextual Integrity as well as a so-called Information Assistant Agent that uses the information model to learn implicit contexts, relationships and the information sharing norms in order to help users avoid inappropriate information exchanges and undesired information disseminations. Through an experimental evaluation, we validate the properties of the model proposed. In particular, Information Assistant Agents are shown to: (i) infer the information sharing norms even if a small proportion of the users follow the norms and in presence of malicious users; (ii) help reduce the exchange of inappropriate information and the dissemination of sensitive information with only a partial view of the system and the information received and sent by their users; and (iii) minimise the burden to the users in terms of raising unnecessary alerts. (C) 2015 Elsevier Inc. All rights reserved.
Keywords: computational model, contextual integrity, Contextual Integrity Theory, Daten, Datenschutz, Datenschutz & Privatssphäre, Disziplin, doppelter Treffer, Ethik, Favoriten, Im (wissenschaftlichen) Diskurs, incident of social interaction, Informations- & Kommunikationstechnik, Kontext, Medienwissenschaft, Mensch-Technik-Relationen (MTR), Modelle/Theorien, Philosophie, Privacy and data, privacy theorie, Realtechnik, Reflexionen über MTR, Soziale Angemessenheit, Soziale Netzwerke, Technik, Technikphilosophie 2014
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(2014): Medical professionalism. An experimental look at physicians’ Facebook profiles. In: Medical Education Online 19 (1). DOI: 10.3402/meo.v19.23149
DOI: https://doi.org/10.3402/meo.v19.23149 Abstract: BACKGROUND: Use of social networking services (SNS) is on the rise. While many users sign in for personal purposes, it is not uncommon for professionals to connect over SNSs with clients, students, and patients. METHODS: The present study used an experimental approach to examine how medical doctors' SNS profiles impacted potential patients' impressions of professionalism. Participants (N=250 students) were randomly assigned to view one of six Facebook profiles. Profiles were populated with 1) solely professional material, 2) personal material that was strictly healthy, or 3) personal material that included unhealthy behavior. Profiles portrayed a male or female physician resulting in a total of six experimental conditions. Medical professionalism was measured with the First Impressions of Medical Professionalism (FIMP) scale, specifically developed for this study. RESULTS: There was a large and statistically significant main effect for profile type, F(2, 250)=54.77, p<0.001, ηp(2)=0.31. Post hoc tests indicated that personal profiles that contained healthy behavior were rated as most professional followed by profiles with strictly professional content. Personal unhealthy profiles were rated as least professional. Additionally, female profiles consistently received higher professionalism ratings across all three profile types [F(1, 250)=5.04, p=0.026, ηp(2)=0.02]. CONCLUSION: Our results suggest that a physician's SNS profile affects a patient's perception of that physician's medical professionalism. A personal, healthy profile may augment a patient's perception of that physician's character virtues if the profile content upholds the decorum of the medical field.
Keywords: Art des Kommunikationsmediums, Daten, Datenschutz, decorum, doppelter Treffer, Experte-Laie, Information, Kommunikation, Medien, Medienwirksamkeit, Medizin, Mensch-Technik-Relationen (MTR), Professionalität, angemessene Selbstdarstellung, Rolle (Beruf), Social Network, Social Network Einfluss, Soziale Angemessenheit, soziale Medien, Sozialpsychologie, Wahrnehmung angemessener Selbstdarstellung, Facebook 2010
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(2010): Privacy in context. Technology, policy, and the integrity of social life. Stanford, California: Standford University Press. Online verfügbar unter http://site.ebrary.com/lib/academiccompletetitles/home.action
Abstract: As use of information technology increases, we worry that our personal information is being shared inappropriately, violating key social norms and irreversibly eroding privacy. This book describes how societies ought to go about deciding when to allow technology to lead change and when to resist it in the name of privacy
Keywords: contextual integrity, Contextual Integrity Theory, Datenschutz, Datenschutz & Privatssphäre, Disziplin, Ethik, Favoriten, Im (wissenschaftlichen) Diskurs, Information policy, Information technology, Informations- & Kommunikationstechnik, Informationstechnik, Integrität, Medienwissenschaft, Mensch-Technik-Relationen (MTR), Persönlichkeitsrecht, Philosophie, Privacy and data, Privacy, Right of, Privatsphäre, Realtechnik, Reflexionen über MTR, Social aspects, Social Norms, Soziale Angemessenheit, Technik, Technikphilosophie, USA 2008
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(2008): Internet Users' Information Privacy-Protective Responses. A Taxonomy and a Nomological Model. In: MIS Quarterly 32 (3), S. 503-529. DOI: 10.2307/25148854
Abstract: Although Internet users are expected to respond in various ways to privacy threats from online companies, little attention has been paid so far to the complex nature of how users respond to these threats. This paper has two specific goals in its effort to fill this gap in the literature. The first, so that these outcomes can be systematically investigated, is to develop a taxonomy of information privacy-protective responses (IPPR). This taxonomy consists of six types of behavioral responses-refusal, misrepresentation, removal, negative word-of-mouth, complaining directly to online companies, and complaining indirectly to third-party organizations-that are classified into three categories: information provision, private action, and public action. Our second goal is to develop a nomological model with several salient antecedents-concerns for information privacy, perceived justice, and societal benefits from complaining-of IPPR, and to show how the antecedents differentially affect the six types of IPPR. The nomological model is tested with data collected from 523 Internet users. The results indicate that some discernible patterns emerge in the relationships between the antecedents and the three groups of IPPR. These patterns enable researchers to better understand why a certain type of IPPR is similar to or distinct from other types of IPPR Such an understanding could enable researchers to analyze a variety of behavioral responses to information privacy threats in a fairly systematic manner. Overall, this paper contributes to researchers' theory-building efforts in the area of information privacy by breaking new ground for the study of individuals' responses to information privacy threats.
Keywords: Datenschutz, Datenschutz & Privatssphäre, digitale Ökonomie, Disziplin, Ethik, Im (wissenschaftlichen) Diskurs, manners, Mensch-Technik-Relationen (MTR), Öffentlicher vs. privater Raum, Online, Philosophie, Privacy and data, Privatsphäre, Reflexionen über MTR, social media, Soziale Angemessenheit, User, Wirtschaftsinformatik
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