From Epstein to the Therians: When the Algorithm turns your Indignation into Infinite Scroll.
Abstract
This article analyzes the mechanisms through which the algorithmic architecture of digital platforms displaces public attention from events of high ethical and social relevance, such as the reappearance of the Epstein case files, towards content of high emotional reactivity but low cognitive demand, taking as a paradigmatic example the viral phenomenon of the so-called Therians. The work articulates evidence originating from cognitive neurosciences and research on emotional regulation to sustain that human attention is a finite and saturable resource, and that morally demanding contents, systemic corruption, abuse of power, impunity, compete at structural disadvantage against stimuli designed to maximize immediate reaction. The article explicitly rejects conspirative explanations, proposing instead a systemic analysis based on attention economy: recommendation algorithms do not require coordinated intentionality to produce informative displacement effects; it suffices that their incentive systems reward capture time above any other criterion. This phenomenon is historically contextualized from the panem et circenses of Juvenal, to the use of sporting fervor during the Argentine dictatorship documented by CONADEP, to underline that the mechanism is not new, but that its current scale, speed and efficiency are unprecedented. The text concludes with proposals oriented to three levels of intervention: individual attentional hygiene, algorithmic transparency and auditability, and digital literacy as a collective project. The paradox is pointed out that Chile, despite having constitutional protection of neurorights, still lacks an applicable normative framework that effectively regulates algorithmic intervention on cognitive freedom. Keywords: attention economy, recommendation algorithms, cognitive distraction, emotional regulation, neurorights, algorithmic literacy, disinformation, cognitive freedom.
Fields of Study & Subjects
Digital Media and Philosophy
Ethics and Social Impacts of AI
Misinformation and Its Impacts
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 March 2026
- Language
- EN