Piotr Sapieżyński
Northeastern University
- Reports
- 2
- Organisation
- 1
- Active since
- 2023
- Latest report
- Feb 2026
Reports
Full database2026
1 report- PanoptykonFeb 2026MetaTikTok
Breaking the Loop: Exploring User Agency in Escaping Algorithmic Rabbit Holes on Social Media
Early-stage findings from a Panoptykon/Piotr Sapieżyński (Northeastern University) study testing whether Facebook's 'Not interested' feedback tool lets users actually escape unwanted recommended content; results are mixed, with one pilot showing no lasting effect and a later 7-participant study showing a 38% average reduction with wide variance.
Algorithmic Harm & Recommender SystemsPlatform Compliance & GovernanceArt. 27 — Recommender transparencyArt. 34/35 — Systemic riskBy Dorota Głowacka, Katarzyna Szymielewicz and Piotr Sapieżyński
2023
1 report- PanoptykonDec 2023Meta
Algorithms of Trauma 2: 'Anxious about your health? Facebook won't let you forget'
Case study showing Facebook's ad-delivery algorithms push distressing health/illness ads exploiting users' mental vulnerabilities; disabling 'sensitive interests' limits advertiser targeting but not Facebook's own profiling.
Ad Transparency & FraudAlgorithmic Harm & Recommender SystemsArt. 26 — Ad labellingBy Dorota Głowacka, Katarzyna Szymielewicz and Piotr Sapieżyński