The use of Big Techs as platforms for symbolic exchanges represented a rupture in the way public debate is organized in society. This article will analyze how the use of personal data and monetization to parameterize the tasks of machine learning algorithms that structure these exchanges are increasing social fragmentation and deepening the crisis of liberal democracy. The economic model of these platforms, based on data extraction and the patenting of their tools, added to the jurisdictional obstacles to impose regulation on these companies, are an obstacle to facing the large-scale dissemination of disinformation and denial that fertilize the growth of authoritarianism and of proto-fascisms around the world. In this sense, we propose a reflection on the insufficiency of specific regulations to mitigate the harmful effects of the circulation of information mediated in platforms.