Problematising Sharenting of Supermoms in a Neoliberal Context

Abstract The representation of motherhood using digital platforms, which we call sharenting, can shape the socially constructed motherhood identity, i.e., supermoms in modern societies. Despite building a positive identity as mothers, supermoms may unintentionally violate their children’s privacy, instrumentalise, and even monetise the children. We examine sharenting and supermom identities as manifestations of neoliberal repositioning women as mothers and employees with little consideration of their unarticulated struggles. Drawing on a netnographic study of social media practices, we analysed fifteen working supermom accounts with over two hundred thousand followers, where child-related content was shared and posted between 2019 and 2023. We find that sharenting is often employed to construct the identity of supermoms, yet it frequently leads to the exploitation of children for profit-driven purposes, thereby increasing their vulnerability. We contribute to the literature by offering empirical evidence that the supermom identity is a by-product of the neoliberal system, which normalises time-intensive demands on women in the workplace and caregiving roles. Furthermore, we highlight the adverse consequences of sharenting and provide critical insights into the privacy and security risks associated with child-related digital content.

Authors

Institutions

Publication Details

Journal
Gender Issues
Published
2024-12-11
DOI
https://doi.org/10.1007/s12147-024-09348-2
Citations
3
Primary Topic
Cultural Differences and Values
Type
article
Field-Weighted Citation Impact
1.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Problematising Sharenting of Supermoms in a Neoliberal Context

Deni̇z Palalar Alkan, Rıfat Kamaşak, Mustafa F. Özbilgin, Şafak Gündüz
3 citations
Gender Issues
Cultural Differences and Values
1.93
article

Problematising Sharenting of Supermoms in a Neoliberal Context

Deni̇z Palalar Alkan, Rıfat Kamaşak, Mustafa F. Özbilgin, Şafak Gündüz
article en
3 citations

Abstract

Abstract The representation of motherhood using digital platforms, which we call sharenting, can shape the socially constructed motherhood identity, i.e., supermoms in modern societies. Despite building a positive identity as mothers, supermoms may unintentionally violate their children’s privacy, instrumentalise, and even monetise the children. We examine sharenting and supermom identities as manifestations of neoliberal repositioning women as mothers and employees with little consideration of their unarticulated struggles. Drawing on a netnographic study of social media practices, we analysed fifteen working supermom accounts with over two hundred thousand followers, where child-related content was shared and posted between 2019 and 2023. We find that sharenting is often employed to construct the identity of supermoms, yet it frequently leads to the exploitation of children for profit-driven purposes, thereby increasing their vulnerability. We contribute to the literature by offering empirical evidence that the supermom identity is a by-product of the neoliberal system, which normalises time-intensive demands on women in the workplace and caregiving roles. Furthermore, we highlight the adverse consequences of sharenting and provide critical insights into the privacy and security risks associated with child-related digital content.

Gender IssuesVol. 42(1)
Yeditepe University (TR), Brunel University of London (GB), University of Reading (GB)
Gender equality
Openalex Percentile: Top 13%
Cultural Differences and Values
1.93
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.