Measuring the Facebook advertising ecosystem

Andreou, Athanasios; Silva, Marcio; Benevenuto, Fabrício; Goga, Oana; Loiseau, Patrick; et al.
NDSS 2019, Network and Distributed System Security Symposium (NDSS), February 24-27, 2019, San Diego, USA

The Facebook advertising platform has been subject to a number of controversies in the past years regarding privacy violations, lack of transparency, as well as its capacity to be used by dishonest actors for discrimination or propaganda. In this study, we aim to provide a better understanding of the Facebook advertising ecosystem, focusing on how it is being sed by advertisers. We first analyze the set of advertisers and then investigate how those advertisers are targeting users and customizing ads via the platform. Our analysis is based on the data we collected from over 600 real-world users via a browser extension that collects the ads our users receive when they browse their Facebook timeline, as well as the explanations for why users received these ads. Our results reveal that users are targeted by a wide range of advertisers (e.g., from popular to niche advertisers); that a nonnegligible fraction of advertisers are part of potentially sensitive categories such as news and politics, health or religion; that a significant number of advertisers employ targeting strategies that could be either invasive or opaque; and that many advertisers
use a variety of targeting parameters and ad texts. Overall, our work emphasizes the need for better mechanisms to audit ads and advertisers in social media and provides an overview of the platform usage that can help move towards such mechanisms.

San Diego
Data Science
Eurecom Ref:
© ISOC. Personal use of this material is permitted. The definitive version of this paper was published in NDSS 2019, Network and Distributed System Security Symposium (NDSS), February 24-27, 2019, San Diego, USA and is available at :
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