Becker, DanielaDanielaBeckerGuajardo, JorgeJorgeGuajardoZimmermann, Karl-HeinzKarl-HeinzZimmermann2019-10-112019-10-112017-10-30WPES 2017 - Proceedings of the 2017 Workshop on Privacy in the Electronic Society, co-located with CCS 2017: 21-30 (2017-10-30)http://hdl.handle.net/11420/3543Social media marketing has emerged as a new tool for brands to reach certain target groups. While the use of platforms like Instagram and Facebook has created a multi-billion dollar business, it has also multiplied the amount of sensitive data that is being collected. The associated risks for the end user in terms of data privacy have grown accordingly and most users are unaware of what happens to their data in the background. We propose a novel privacy-preserving social media advertising architecture called SOMAR, which offers a solution that is beneficial to all parties: user privacy is protected and advertisers receive sufficient statistical data, such that all marketing services can be provided in a privacyfriendly manner without sacrificing functionality. Additionally, all computed statistics are equipped with proofs of correctness such that the currently trust-based relationship between brands and social media marketers is replaced by cryptographic verifiability.enTechnikConference Paper10.1145/3139550.3139563Conference Paper