Overprofiling Analysis on Major Internet Players Articles
Overview
published in
publication date
- July 2024
start page
- 929
end page
- 946
issue
- 4
volume
- 2024
Digital Object Identifier (DOI)
International Standard Serial Number (ISSN)
- 2299-0984
abstract
- Many Internet services obtain their revenue through the delivery of online advertisements based on the commercial exploitation of users¿ profiles. The accuracy and size of these profiles have important implications in terms of advertisers¿ campaign performance and users¿ privacy. Despite the importance of auditing the profiling accuracy, very little effort has been devoted both in industry and academia. This paper presents the most comprehensive auditing effort to understand the profiling accuracy of four major online advertising platforms: Google, Facebook, Twitter, and LinkedIn. Our work unveils that less than 50% of the assigned interests are relevant. Moreover, platforms can distinguish what interests within the assigned ones are more relevant but hide this information from users and advertisers. Finally, we have proposed a very simple solution that only uses 25 general interests per user. This proposal outperforms all the analyzed platforms in terms of profile accuracy while improving users¿ privacy.
Classification
subjects
- Computer Science
- Telecommunications
keywords
- privacy; social networks; advertisement; interests