Implicit Contextual Integrity in Online Social Networks
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 974
- Type
- D - Journal article
- DOI
-
10.1016/j.ins.2015.07.013
- Title of journal
- Information Sciences
- Article number
- -
- First page
- 48
- Volume
- 325
- Issue
- -
- ISSN
- 0020-0255
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article proposes the first computational model of Implicit Contextual Integrity in which implicit contexts, relationships and information sharing norms are learnt by analysing users’ interactions in a social network. The experiments conducted show the merits of the proposed model. The work has gained attention from academia, e.g., cited in the paper published at https://doi.org/10.1145/3308558.3313655 by Nissenbaum who conceived the idea on Contextual Integrity modelling.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
