Tracking pixels, tiny images that load when you visit a website or open an application, are used to track user activity, unlike traditional cookies.
Machine learning and data science analyze the data collected by pixels to create accurate predictive profiles and personalize recommendations on platforms like Amazon and Mercado Libre.
Although technically not spying on private conversations, the sophisticated tracking and interpretation of digital footprints through predictive analytics techniques can create a sense of surveillance.
There is a growing awareness about digital privacy, leading to emerging trends to mitigate the impact of invisible tracking and give users more control.