Athanasios Andreou (EURECOM), Márcio Silva (UFMG), Fabrício Benevenuto (UFMG), Oana Goga (Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG), Patrick Loiseau (Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG & MPI-SWS), Alan Mislove (Northeastern University)

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 used 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 non-negligible 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.

View More Papers

REDQUEEN: Fuzzing with Input-to-State Correspondence

Cornelius Aschermann (Ruhr-Universität Bochum), Sergej Schumilo (Ruhr-Universität Bochum), Tim Blazytko (Ruhr-Universität Bochum), Robert Gawlik (Ruhr-Universität Bochum), Thorsten Holz (Ruhr-Universität Bochum)

Read More

Private Continual Release of Real-Valued Data Streams

Victor Perrier (Data61, CSIRO and ISAE-SUPAERO), Hassan Jameel Asghar (Macquarie University and Data61, CSIRO), Dali Kaafar (Macquarie University and Data61, CSIRO)

Read More

Graph-based Security and Privacy Analytics via Collective Classification with...

Binghui Wang (Iowa State University), Jinyuan Jia (Iowa State University), Neil Zhenqiang Gong (Iowa State University)

Read More

Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation

Victor Le Pochat (imec-DistriNet, KU Leuven), Tom Van Goethem (imec-DistriNet, KU Leuven), Samaneh Tajalizadehkhoob (Delft University of Technology), Maciej Korczyński (Grenoble Alps University), Wouter Joosen (imec-DistriNet, KU Leuven)

Read More