Apps collect a wide range of user data beyond direct voice commands, using signals like scrolling speed, network connection, and referral sources to build detailed profiles for targeted advertising. While phones don't secretly listen, this sophisticated tracking mechanism is designed to maximize profit by predicting user desires. Users can take steps to limit this data collection by adjusting device-level tracking settings on both Android and iOS, though the methods and effectiveness vary between the two operating systems. AI
IMPACT Explains how user data is leveraged for AI-driven advertising and outlines user privacy controls.
RANK_REASON Article explains how app tracking works and user controls, rather than announcing a new product or policy.
AI-generated summary · Google Gemini · from 2 sources. How we write summaries →