La géographie selon LinkedIn. L’exemple de la région SUD.

LinkedIn is a professional social network that facilitates information exchanges and networking among its members. Based on the user profiles, the platform's algorithm assigns them to a municipality, a sector, or a region, thus drawing up a spatial polarization. However the logic of the resulti...

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Main Authors: Aurélia Bernard, Cyrille Genre-Grandpierre
Format: Article
Language:English
Published: Netcom Association 2022-06-01
Series:Netcom
Subjects:
Online Access:https://journals.openedition.org/netcom/6362
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author Aurélia Bernard
Cyrille Genre-Grandpierre
author_facet Aurélia Bernard
Cyrille Genre-Grandpierre
author_sort Aurélia Bernard
collection DOAJ
description LinkedIn is a professional social network that facilitates information exchanges and networking among its members. Based on the user profiles, the platform's algorithm assigns them to a municipality, a sector, or a region, thus drawing up a spatial polarization. However the logic of the resulting partition of space is difficult to follow: the assignments vary for a given municipality, and the partitions obtained do not correspond to those of traditional geography. As these assignments potentially determine the establishment of contacts between members, they may induce performative effects on the labor market. In this current work, we therefore seek to better describe and understand them. The polarizations of the platform were revealed using a database on LinkedIn members in the SUD region. They were then compared to traditional geography partitions. Finally, we study the differences in LinkedIn polarizations depending on the jobs of the platform's members.
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institution Kabale University
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publishDate 2022-06-01
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spelling doaj-art-21b9caba717e410b9395bc67579fb0542025-01-30T11:01:23ZengNetcom AssociationNetcom0987-60142431-210X2022-06-013510.4000/netcom.6362La géographie selon LinkedIn. L’exemple de la région SUD.Aurélia BernardCyrille Genre-GrandpierreLinkedIn is a professional social network that facilitates information exchanges and networking among its members. Based on the user profiles, the platform's algorithm assigns them to a municipality, a sector, or a region, thus drawing up a spatial polarization. However the logic of the resulting partition of space is difficult to follow: the assignments vary for a given municipality, and the partitions obtained do not correspond to those of traditional geography. As these assignments potentially determine the establishment of contacts between members, they may induce performative effects on the labor market. In this current work, we therefore seek to better describe and understand them. The polarizations of the platform were revealed using a database on LinkedIn members in the SUD region. They were then compared to traditional geography partitions. Finally, we study the differences in LinkedIn polarizations depending on the jobs of the platform's members.https://journals.openedition.org/netcom/6362algorithmLinkedInterritorial partitionurban polarization
spellingShingle Aurélia Bernard
Cyrille Genre-Grandpierre
La géographie selon LinkedIn. L’exemple de la région SUD.
Netcom
algorithm
LinkedIn
territorial partition
urban polarization
title La géographie selon LinkedIn. L’exemple de la région SUD.
title_full La géographie selon LinkedIn. L’exemple de la région SUD.
title_fullStr La géographie selon LinkedIn. L’exemple de la région SUD.
title_full_unstemmed La géographie selon LinkedIn. L’exemple de la région SUD.
title_short La géographie selon LinkedIn. L’exemple de la région SUD.
title_sort la geographie selon linkedin l exemple de la region sud
topic algorithm
LinkedIn
territorial partition
urban polarization
url https://journals.openedition.org/netcom/6362
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