5642700
doi
10.5281/zenodo.5642700
oai:zenodo.org:5642700
user-ai4media
Popescu, Adrian
Deshayes-Chossart, Jérôme
Unveiling Real-Life Effects of Online Photo Sharing
Nguyen, Van-Khoa
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
personal data, privacy, user feedback, awareness, photo sharing
<p>Social networks give free access to their services in exchange for the right to exploit their users’ data. Data sharing is done in an initial context which is chosen by the users. However, data are used by social networks and third parties in different contexts which are often not transparent. In order to unveil such usages, we propose an approach which focuses on the effects of data sharing in impactful real-life situations. Focus is put on visual content because of its strong influence in shaping online user profiles. The approach relies on three components: (1) a set of visual objects with associated situation impact ratings obtained by crowdsourcing, (2) a corresponding set of object detectors for mining users’ photos and (3) a ground truth dataset made of 500 visual user profiles which are manually rated per situation. These components are combined in LERVUP, a method which learns to rate visual user<br>
profiles in each situation. LERVUP exploits a new image descriptor which aggregates object ratings and object detections at user level and an attention mechanism which boosts highly-rated objects to prevent them from being overwhelmed by low-rated ones. Performance is evaluated per situation by measuring the correlation between the automatic ranking of profile ratings and a manual ground truth. Results indicate that LERVUP is effective since a strong correlation of the two rankings is obtained. A practical implementation of the approach in a mobile app which raises user awareness about shared data usage is also discussed.</p>
Zenodo
2022-01-04
info:eu-repo/semantics/conferencePaper
5642699
user-ai4media
1635947325.112091
716917
md5:035b89b3ab2a40ab47f64311eeba1a08
https://zenodo.org/records/5642700/files/lervup_final.pdf
2410894
md5:f73bec95cf9952c985a68821909e21eb
https://zenodo.org/records/5642700/files/lervup_supp_final.pdf
public
10.5281/zenodo.5642699
isVersionOf
doi