Does Ad-Free Mean Less Data Collection? An Empirical Study of Platform Data Practices and User Expectations
Sepehr Mousavi, Abhisek Dash, Savvas Zannettou, Krishna P. Gummadi

TL;DR
This study investigates whether ad-free subscription models on platforms lead to reduced data collection and finds that platforms often retain or collect similar data, contrary to user expectations of increased privacy.
Contribution
It provides empirical evidence that platforms continue collecting ad-related data in ad-free models and highlights a disconnect with user expectations and GDPR principles.
Findings
Platforms retain ad-related data even in ad-free subscriptions.
Most users expect reduced data collection in ad-free models.
A significant gap exists between actual practices and user expectations.
Abstract
Online platforms increasingly offer "paid" ad-free subscriptions as an alternative to the traditional "free" ad-based model. The transition to ad-free models ostensibly removes advertising as a key justification for data processing under the GDPR. So, normatively, platforms should collect less user data. However, platforms may justify continued data collection as a means to provide an improved, personalized experience. This tension between privacy principles and platform incentives raises a critical underexplored question: do data collection practices vary between ad-free and ad-based subscription models? In this paper, we shed light on this important privacy issue by investigating the alignment between platform data collection practices and related user expectations. With respect to data collection process, our analyses of data exports from three major online platforms - Instagram,…
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Taxonomy
TopicsPrivacy, Security, and Data Protection · Digital Platforms and Economics · Sharing Economy and Platforms
