The Future of Nostalgia: Loss and Absence in the Age of Algorithmic Temporality

For human beings, accepting loss and absence is a constant effort, particularly when it comes to accepting their own finitude, which becomes apparent as time passes and people leave us. This is closely linked to nostalgia and the processes of remembrance. While there are many nuances, we can distinguish between constructive and destructive nostalgia. The former cannot accept absence or the passage of time and deludes itself into thinking that it can recover what has been lost. The latter recognizes the temptation to recover everything, but knows that this is impossible, and accepts that the past can only be preserved by transforming it into something else. Contemporary technologies that use algorithms can exacerbate the former tendency by manipulating memory processes and distorting the meaning of the virtual. The aim of this contribution is to shed light on the dynamics and implications of nostalgia as it is influenced by algorithms. To this end, it is divided into three stages. In the first stage, nostalgia is examined for its “restraining” power in relation to deterministically progressive philosophies of history, also through a reference to the original philosophical meaning of the term ‘virtual’. In the second stage, the relation to progress is thematized through a reflection on technologies and artificial intelligence, which uses algorithms and devours our data. In the third stage, it will be shown how thinking about nostalgia and artificial and algorithmic ‘intelligence(s)’ can be a valuable test case for distinguishing between the uses and abuses of nostalgia, between constructive nostalgia and destructive nostalgia.

Authors

Institutions

Publication Details

Journal
Humanities
Published
2025-09-25
DOI
https://doi.org/10.3390/h14100187
Primary Topic
Nostalgia and Consumer Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Future of Nostalgia: Loss and Absence in the Age of Algorithmic Temporality

Silvia Pierosara
Humanities
Nostalgia and Consumer Behavior
article

The Future of Nostalgia: Loss and Absence in the Age of Algorithmic Temporality

Silvia Pierosara
article en

Abstract

For human beings, accepting loss and absence is a constant effort, particularly when it comes to accepting their own finitude, which becomes apparent as time passes and people leave us. This is closely linked to nostalgia and the processes of remembrance. While there are many nuances, we can distinguish between constructive and destructive nostalgia. The former cannot accept absence or the passage of time and deludes itself into thinking that it can recover what has been lost. The latter recognizes the temptation to recover everything, but knows that this is impossible, and accepts that the past can only be preserved by transforming it into something else. Contemporary technologies that use algorithms can exacerbate the former tendency by manipulating memory processes and distorting the meaning of the virtual. The aim of this contribution is to shed light on the dynamics and implications of nostalgia as it is influenced by algorithms. To this end, it is divided into three stages. In the first stage, nostalgia is examined for its “restraining” power in relation to deterministically progressive philosophies of history, also through a reference to the original philosophical meaning of the term ‘virtual’. In the second stage, the relation to progress is thematized through a reflection on technologies and artificial intelligence, which uses algorithms and devours our data. In the third stage, it will be shown how thinking about nostalgia and artificial and algorithmic ‘intelligence(s)’ can be a valuable test case for distinguishing between the uses and abuses of nostalgia, between constructive nostalgia and destructive nostalgia.

HumanitiesVol. 14(10)
University of Macerata (IT)
Openalex Percentile: Top 70%
Nostalgia and Consumer Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.