Projects per year
Abstract
Items in social media such as photos may be co-owned by multiple users, i.e., the sharing decisions of the ones who upload them have the potential to harm the privacy of the others. Previous works uncovered coping strategies by co-owners to manage their privacy, but mainly focused on general practices and experiences. We establish an empirical base for the prevalence, context and severity of privacy conflicts over co-owned photos. To this aim, a parallel survey of pre-screened 496 uploaders and 537 co-owners collected occurrences and type of conflicts over co-owned photos, and any actions taken towards resolving them. We uncover nuances and complexities not known before, including co-ownership types, and divergences in the assessment of photo audiences. We also find that an all-or-nothing approach seems to dominate conflict resolution, even when parties actually interact and talk about the conflict. Finally, we derive key insights for designing systems to mitigate these divergences and facilitate consensus.
Original language | English |
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Title of host publication | ACM Conference on Human Factors in Computing Systems (CHI) |
Pages | 3821-3832 |
DOIs | |
Publication status | Published - May 2017 |
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Dive into the research topics of 'Photo Privacy Conflicts in Social Media: A Large-scale Empirical Study'. Together they form a unique fingerprint.Projects
- 1 Finished
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RePriCo: Resolving Multi-party Privacy Conflicts in Social Media
Such, J. (Primary Investigator)
EPSRC Engineering and Physical Sciences Research Council
4/04/2017 → 3/01/2018
Project: Research
Datasets
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Dataset for the publication Photo Privacy Conflicts in Social Media - A Large-Scale Empirical Study
Such, J., Porter, J., Preibusch, S. & Joinson, A., King's College London, 4 Jan 2017
DOI: 10.18742/rdm01-122, https://kcl.figshare.com/articles/dataset/Dataset_for_the_publication_Photo_Privacy_Conflicts_in_Social_Media_-_A_Large-Scale_Empirical_Study/16473684
Dataset