In the literature on the relationship between algorithms and identity, the main concern is the protection of personal data privacy to prevent interference and manipulation by outsiders. Although this is a relevant issue, it is also interesting to ask how algorithms influence the constitution of one's own identity. Indeed, algorithms of recommendation systems organise and interpret personal experiences, facts, and data in a coherent and meaningful way. They therefore play a mediating role, contributing to the constitution of our own identity, both positively and negatively. This mediation occurs at two levels: temporal and relational. On the former, the risk is that individuals cannot critically distance themself from their past as reconstructed by the algorithm. On the latter, recommender systems help shape the contents of our narrative and affect our relationships. In this sense, they can both support and mirror our identity and undermine it. Ultimately, then, recommender systems are an integral part of the dialogical process of identity constitution.
