I am a third year Ph.D. student at Ecole Polytechnique Paris and CNRS, working under the supervision of Oana Goga. I am a member of CEDAR, a joint team between Inria, CNRS, and LIX (Computer Science lab of École Polytechnique) focusing on rich data analytics at cloud scale.
My Ph.D. thesis, titled “Analyzing risks associated with incidental and targeted exposure to information on social media” falls under the broad theme of Computing and Society, and lies at the intersection of User Privacy, Social Media Analysis, and Information Dissemination. My focus is on measuring risks associated with the web (such as the spread of false information) by applying data-driven quantitative methodologies to collect and analyze large scale data from online systems.
Alongside my thesis, I also researched the privacy impact of advertising systems employed by privacy-focused search engines. I employed an automated crawling methodology to identify instances of online tracking when users interact with advertisements.
Prior to my thesis, I graduated as a Computer Science Engineer from the Higher National School of Computer Science (ESI) of Algiers (Algeria) in 2020. I did my final year internship at the Grenoble Informatics Laboratory in Grenoble (France).
Automated Discovery of Self-Proclaimed News Providers on Facebook
Salim Chouaki, Minh-Kha Nguyen, Laura Edelson, Tobias Lauinger, Damon McCoy, Oana Goga
What News Do People Get on Social Media? Analyzing Exposure and Consumption of News through Data Donations
Salim Chouaki, Abhijnan Chakraborty, Oana Goga, Savvas Zannettou
ACM The Web Conference 2024
Understanding the privacy risks of popular search engine advertising systems
Salim Chouaki, Oana Goga, Hamed Haddadi, Peter Snyder
ACM Internet Measurement Conference (IMC 2023)
Exploring the Online Micro-targeting Practices of Small, Medium, and Large Businesses
Salim Chouaki, Islem Bouzenia, Oana Goga, Beatrice Roussillon
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2022)
- 10/2023 - 12/2023 – Programming in C++
Lab sessions (12 hours) at ENSAE
- 02/2023 - 05/2023 – Programming project in Python
Lab sessions (18 hours) at ENSAE
- Private search engines and traditional advertising platforms: uncovering the privacy risks Trustaware - October 2023
- Economic benefits vs Privacy concerns: the challenge with regulating online advertising Trustaware - November 2022