| 51741 |
Creator |
cae4fa380bd0c61cfbb4bb2cb1b035d5 |
| 51741 |
Creator |
e0b7fd620a538ed1e211c81a48d5a5fd |
| 51741 |
Creator |
eb1a0182e6ea336167735f7009ed60e8 |
| 51741 |
Creator |
9ac1d268bb57f50a76301a873fb56d23 |
| 51741 |
Creator |
b98ee377b1ca4a3cd6236fd8bf77efe0 |
| 51741 |
Creator |
ext-9e2948987eb34c48471e70fbe3179d7b |
| 51741 |
Creator |
ext-05b098cd3289e2871e885ff5aa734c6c |
| 51741 |
Creator |
ext-85fa01ce3520b65cb728850e6a2bc09f |
| 51741 |
Creator |
ext-aa304f0b46e0840ba55aa843963498f8 |
| 51741 |
Creator |
ext-b05e63294f19fea617fb37b0385adfc5 |
| 51741 |
Date |
2017 |
| 51741 |
Is Part Of |
repository |
| 51741 |
abstract |
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. |
| 51741 |
authorList |
authors |
| 51741 |
presentedAt |
ext-7d8c3bea7b62574c6dfce793351c79dc |
| 51741 |
status |
peerReviewed |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/635803 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/635805 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/635806 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/635807 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/635808 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/635809 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/636047 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/636048 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/636049 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/636050 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/636051 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/636052 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/660211 |
| 51741 |
uri |
http://data.open.ac.uk/oro/document/660441 |
| 51741 |
type |
AcademicArticle |
| 51741 |
type |
Article |
| 51741 |
label |
Rafiq, Yasmin; Dickens, Luke; Russo, Alessandra; Bandara, Arosha ; Yang, Mu ; Stuart,
Avelie; Levine, Mark; Calikli, Gul ; Price, Blaine and Nuseibeh, Bashar (2017).
Learning to Share: Engineering Adaptive Decision-Support for Online Social Networks.
In: 32nd IEEE/ACM International Conference on Automated Software Engineering, 30 Oct
- 3 Nov 2017, Chicago, IL. |
| 51741 |
label |
Rafiq, Yasmin; Dickens, Luke; Russo, Alessandra; Bandara, Arosha ; Yang, Mu ; Stuart,
Avelie; Levine, Mark; Calikli, Gul ; Price, Blaine and Nuseibeh, Bashar (2017).
Learning to Share: Engineering Adaptive Decision-Support for Online Social Networks.
In: 32nd IEEE/ACM International Conference on Automated Software Engineering, 30 Oct
- 3 Nov 2017, Chicago, IL. |
| 51741 |
Title |
Learning to Share: Engineering Adaptive Decision-Support for Online Social Networks |
| 51741 |
in dataset |
oro |