Privacy-by-Norms Privacy Expectations in Online Interactions

Patkos, Theodore; Flouris, Giorgos; Papadakos, Panagiotis; Bikakis, Antonis; Casanovas, Pompeu; González-Conejero, Jorge; Figueroa, Rebeca Varela; Hunter, Anthony; Idir, Gudjon; Ioannidis, George; Kacprzyk-Murawska, Marta; Nowak, Andrzej; Pitt, Jeremy; Plexousakis, Dimitris; Rychwalska, Agnieszka; Stan, Alexandru

doi:10.1109/sasow.2015.5

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…Collective Awareness Platforms for Sustainability and Social Innovation (CAPS) is a research initiative endorsed and supported by the European Commission, aiming to explore new solutions at the confluence of social networks, knowledge networks and networks of things [1]. Officially, CAPS is an initiative that "pioneers new models to create awareness of emerging sustainability challenges and of the role that each and every one of us can play to ease them through collective action" 10 . It aims at designing online platforms for creating social awareness and for allowing collective solutions to emerge through the interaction among participants, exploiting the hyperconnectivity characteristic of the digital society.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Towards a Collective Awareness Platform for Privacy Concerns and Expectations

Flouris¹,

Patkos²,

Chrysakis³

et al. 2018

Lecture Notes in Computer Science

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In an increasingly instrumented and interconnected digital world, citizens generate vast amounts of data, much of it being valuable and a significant part of it being personal. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain deeply undecided issues. This paper proposes CAPrice, a socio-technical solution based on collective awareness and informed consent, whereby data collection and use by digital products are driven by the expectations and needs of the consumers themselves, through a collaborative participatory process and the configuration of collective privacy norms. The proposed solution relies on a new innovation model that complements existing top-down approaches to data protection, which mainly rely on technical or legal provisions. Ultimately, the CA-Price ecosystem will strengthen the trust bond between service developers and users, encouraging innovation and empowering the individuals to promote their privacy expectations as a quantifiable, community-generated request.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Towards a Collective Awareness Platform for Privacy Concerns and Expectations

Flouris¹,

Patkos²,

Chrysakis³

et al. 2018

Lecture Notes in Computer Science

Self Cite

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“…Customary international private law cannot be easily modelled without taking all stakeholders into account. The general balance between privacy, data protection, and security [58] seems to broaden the legal normative scope for regulating, among other elements, linked data markets [116], co-regulatory instruments [98], self-regulated collective awareness and informed consent [88], the behaviour of LEAs behaviour (law enforcement agents) 71 [25], and the use of multi-lingual and multi-jurisdictional term banks [105]. Distributed geospatial data, textual data, and controlled vocabularies can be combined to create interactive tools to enhance the rule of law and the specific legal information that citizens would need to perform legal acts [62].…”

Section: Standardisation Trendsmentioning

confidence: 99%

Semantic Web for the Legal Domain: The next step

Casanovas

Palmirani

Peroni

et al. 2016

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Abstract. Ontology-driven systems with reasoning capabilities in the legal field are now better understood. Legal concepts are not discrete, but make up a dynamic continuum between common sense terms, specific technical use, and professional knowledge, in an evolving institutional reality. Thus, the tension between a plural understanding of regulations and a more general understanding of law is bringing into view a new landscape in which general legal frameworks -grounded in well-known legal theories stemming from 20th-century c. legal positivism or sociological jurisprudence -are made compatible with specific forms of rights management on the Web. In this sense, Semantic Web tools are not only being designed for information retrieval, classification, clustering, and knowledge management. They can also be understood as regulatory tools, i.e. as components of the contemporary legal architecture, to be used by multiple stakeholders -front-line practitioners, policymakers, legal drafters, companies, market agents, and citizens. That is the issue broadly addressed in this Special Issue on the Semantic Web for the Legal Domain, overviewing the work carried out over the last fifteen years, and seeking to foster new research in this field, beyond the state of the art.

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“…This is an important shortcoming, as decision research suggests that users' privacy preferences are malleable rather than stable and that privacy behavior may vary based on situational and contextual factors [18,20,39]. Moreover, individual's privacy expectations depend on the contexts in which the user is sharing information [19,29,30,35].…”

Section: Introductionmentioning

confidence: 99%

Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans

Mehdy

Ekstrand

Knijnenburg

et al. 2021

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization

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To account for privacy perceptions and preferences in user models and develop personalized privacy systems, we need to understand how users make privacy decisions in various contexts. Existing studies of privacy perceptions and behavior focus on overall tendencies toward privacy, but few have examined the contextspecific factors in privacy decision making. We conducted a survey on Mechanical Turk (N=401) based on the theory of planned behavior (TPB) to measure the way users' perceptions of privacy factors and intent to disclose information are affected by three situational factors embodied hypothetical scenarios: information type, recipients' role, and trust source. Results showed a positive relationship between subjective norms and perceived behavioral control, and between each of these and situational privacy attitude; all three constructs are significantly positively associated with intent to disclose. These findings also suggest that, situational factors predict participants' privacy decisions through their influence on the TPB constructs. CCS CONCEPTS• Security and privacy → Human and societal aspects of security and privacy.

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Privacy-by-Norms Privacy Expectations in Online Interactions

Cited by 7 publications

References 9 publications

Towards a Collective Awareness Platform for Privacy Concerns and Expectations

Towards a Collective Awareness Platform for Privacy Concerns and Expectations

Semantic Web for the Legal Domain: The next step

Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans

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