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Barcelona, 08011
by Bernat Rucabado



























“Distorted Identities” is an exploration of the influential effect of algorithmic-filtered content to the self perception of identity.

This study reveals how digital platforms view personal data as a resource to be exploited, and through algorithms, drive user interaction with content to increase data extraction. This promotes a manipulative dynamic in which algorithms disproportionately dictate the content delivered to users, preemptively influencing their decisions. This not only limits the users’ freedom of choice but also distorts the feedback received by the algorithms, thereby reinforcing their inherent biases and distorting the extracted data.

Through an experimental process with data generated by these algorithms, this research determines that the content tailored for users is actively distorted to ensure interaction, thus reducing their ability to decide what is offered to them, leading to a progressive distortion of their self-perception of identity.

This project aims to foster reflection on the perception of one’s own identity through a critical artifact that gives shape to the distorted definition process of identities carried out by algorithms.

2024

Designed by
Bernat Rucabado



Tutored by: 
Saúl Baeza
Citlali Hernández
Natalia Forero
Adidas Maker Lab












This project was done in collaboration
with the Adidas MakerLab team.