This talk explores how algorithmic advertising, designed for efficiency, might unintentionally reinforce social divides. By examining how socioeconomic status (SES) influences the ads we see, the talk highlights the risk of different social groups being trapped in personalized "bubbles" of persuasion. Integrating insights from sociology and communication research, it addresses the technical challenges of measuring these effects and discusses the broader implications for digital equality in an automated world.

About the speaker: 

Carolina Sáez-Linero is a researcher in communication and advertising specializing in algorithmic personalization, digital advertising, and social inequality. She obtained her PhD from Universitat Pompeu Fabra and is currently a lecturer at Universidad Internacional de La Rioja (UNIR). Her research examines how algorithmic advertising systems shape people’s perceptions, opportunities, and exposure to persuasive content