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Bogdan Ionescu <[log in to unmask]>
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Bogdan Ionescu <[log in to unmask]>
Thu, 18 Feb 2021 23:04:13 +0200
text/plain (86 lines)
[Apologies for multiple postings]


Images constitute a large part of the content shared on social
networks. Their disclosure is often related to a particular context
and users are often unaware of the fact that, depending on their
privacy status, images can be accessible to third parties and be used
for purposes which were initially unforeseen. For instance, it is
common practice for employers to search information about their future
employees, online.

Most existing approaches which propose feedback about shared data
focus on inferring user characteristics, and their practical utility
is rather limited. We hypothesize that user feedback would be more
efficient if conveyed through the real-life effects of data sharing.

The objective of the task is to automatically score user photographic
profiles in a series of situations with strong impact on her/his life.

*** TASK ***
Given a set of social media user profiles, participants will propose
machine learning techniques which provide a ranking of these in
various (unaware) usage situations.

*** DATA SET ***
A data set of 500 user profiles with 100 photos per profile was
created and annotated with an appeal score for a series of real-life
situations via crowdsourcing. User profiles are created by repurposing
a subset of the YFCC100M dataset. In accordance with GDPR, data
minimization is applied, and participants receive only the information
necessary to carry out the task in an anonymized form. Resources
include: (i) anonymized visual concept ratings for each situation
modeled; (ii) automatically extracted predictions for the images that
compose the profiles.

*** METRICS ***
The correlation with the ground truth will be measured using Pearson's
correlation coefficient. The final score of each participating team
will be obtained by averaging correlations obtained for individual

- Task registration opens: November 16, 2020
- Development data release: February 15, 2021
- Test data release: March 15, 2021
- Run submission: May 10, 2021
- Working notes submission: May 28, 2021
- CLEF 2021 conference: September 21-24, Bucharest, Romania

*** REGISTER ***

Adrian Popescu, CEA LIST, France
Jérôme Deshayes-Chossart, CEA LIST, France
Bogdan Ionescu, University Politehnica of Bucharest, Romania

On behalf of the Organizers,
Bogdan Ionescu



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