Publications
From the program.
Two articles and a public data report from the first two waves. Anonymized datasets are deposited with DOIs alongside each publication.
Conditional price steering in e-commerce recommendation systems: an external audit of 300 Shopify stores
ARTICLE 01 · POLINA HNELETSKA
Exclusion in the recommendation layer: visual representation and accessibility of the digital shelf
ARTICLE 02 · POLINA HNELETSKA
State of Algorithmic Bias in Shopify Recommendations — public data report
DATA REPORT
Zenodo DOIs — September 2026
How we operate
Three rules we don't break.
01Rule 01
No platform cooperation
We audit from the outside — the way a shopper meets the shelf. No API access, no partnerships, no permission required. Any researcher can rerun the measurement.
02Rule 02
Open protocol
Sampling rules, seed selection, capture procedure, metric definitions and the visual-representation codebook are published on GitHub under CC BY 4.0.
03Rule 03
Open data
Anonymized datasets are deposited with DOIs (Zenodo) alongside each publication. Capture losses are reported, never silently dropped.
Zenodo DOIs — September 2026