Cookies?
Library Header Image
LSE Research Online LSE Library Services

Phenomenal algorhythms: the sensorial orchestration of "real-time" in the social media manifold

Lupinacci Amaral, Ludmila (2022) Phenomenal algorhythms: the sensorial orchestration of "real-time" in the social media manifold. New Media & Society. ISSN 1461-4448

[img] Text (Lupinacci_phenomenal-algorhythms--published) - Published Version
Available under License Creative Commons Attribution.

Download (188kB)

Identification Number: 10.1177/14614448221109952

Abstract

If our sociality is intertwined with the logics of social media, then the examination of the temporalities that are immanent in these technologies contributes to the understanding of our very conditions of existence. And even if algorithmic sorting is increasingly employed to deliver what is “relevant” at the “right-time,” the notion of “real-time” still permeates these platforms’ operations. Through a critical phenomenological approach, I examine the interplay of chronological and algorithmic ordering. To operationalize the idea of temporality as both subjectively experienced and always arranged by the platforms themselves, I use rhythm as an analytical device. Based on accounts of lived experience obtained through the conduction of the diary-interview method with London-based social media users, I foreground how “the algorithm” is used as a vehicle to make sense of platforms’ temporalities, reflecting struggles and negotiations over social coordination and temporal control. I argue that realtimeness is also rhythmic, and can therefore be scrutinized as a “sensorial orchestration.”

Item Type: Article
Official URL: https://journals.sagepub.com/home/nms
Additional Information: © 2022 The Author
Divisions: Sociology
Subjects: H Social Sciences > HE Transportation and Communications
H Social Sciences > HM Sociology
Date Deposited: 15 Jun 2022 16:09
Last Modified: 12 Jul 2024 23:39
URI: http://eprints.lse.ac.uk/id/eprint/115376

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics