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Learning to Share: ...
Learning to Share: Engineering Adaptive Decision-Support for Online Social Networks
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- Rafiq, Y. (author)
- Imperial College of Science, Technology and Medicine
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- Dickens, L. (author)
- University College London (UCL)
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- Russo, A. (author)
- Imperial College of Science, Technology and Medicine
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- Bandara, A. K. (author)
- Open University
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- Yang, M. (author)
- University of Southampton
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- Stuart, A. (author)
- University of Exeter
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- Levine, M. (author)
- University of Exeter
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- Calikli, Gul (author)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, datavetenskap (GU),Department of Computer Science and Engineering, Computing Science (GU),University of Gothenburg
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- Price, B. A. (author)
- Open University
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- Nuseibeh, B. (author)
- University Of Limerick,Open University
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(creator_code:org_t)
- 2017
- 2017
- English.
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In: PROCEEDINGS OF THE 2017 32ND IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE'17). - 1527-1366. - 9781538626849 ; , s. 280-285
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Abstract
Subject headings
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- Some online social networks (OSNs) allow users to define friendship-groups as reusable shortcuts for sharing information with multiple contacts. Posting exclusively to a friendship-group gives some privacy control, while supporting communication with (and within) this group. However, recipients of such posts may want to reuse content for their own social advantage, and can bypass existing controls by copy-pasting into a new post; this cross-posting poses privacy risks. This paper presents a learning to share approach that enables the incorporation of more nuanced privacy controls into OSNs. Specifically, we propose a reusable, adaptive software architecture that uses rigorous runtime analysis to help OSN users to make informed decisions about suitable audiences for their posts. This is achieved by supporting dynamic formation of recipient-groups that benefit social interactions while reducing privacy risks. We exemplify the use of our approach in the context of Facebook.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- NSO
- Univ Minnesota
- Runtime Verificat
- Huawei
- InputOutput
- Google
- Toyota Infotechnol Ctr
- Fox
- privacy calculus
- model
Publication and Content Type
- vet (subject category)
- kap (subject category)
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To the university's database
- By the author/editor
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Rafiq, Y.
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Dickens, L.
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Russo, A.
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Bandara, A. K.
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Yang, M.
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Stuart, A.
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show more...
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Levine, M.
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Calikli, Gul
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Price, B. A.
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Nuseibeh, B.
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show less...
- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Media and Commun ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Other Computer a ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Information Syst ...
- Articles in the publication
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PROCEEDINGS OF T ...
- By the university
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University of Gothenburg
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Chalmers University of Technology