Social media and the ordinary: Marginalized voices in neo/non-liberal China

Thirty years into China’s internet development, much recent scholarship has focused on rather daunting forces—big data, algorithmic control, surveillance, and platformization, to name a few. This article centers the “small,” or how social media is articulated to the ordinary practices, pursuits, feelings, passions, ethical decisions, and struggles for voice of people who are socially, economically, and/or politically marginalized. I focus on these processes and practices among marginalized young creatives and domestic workers in a context I call “neo/non-liberal China,” which manifests as an amplification of prior discourses regarding self-responsibilization, happiness, and harmony along with greater social stratification, platformization, repression, and an emphasis on creativity and innovation. The analysis is grounded in theories of “ordinary affects,” or the inarticulable energies, passions, and forces that move bodies, and “ordinary ethics,” or the ethical aspects of practices, choices, and judgments that make up daily life and, thus, selfhood. I argue that centering diverse marginalized individuals’ passions, feelings, and ordinary ethical decisions, as these are articulated to social media, enables deeper insight into their dreams and goals and the challenges and obstacles they face in achieving these. Their experiences also speak to larger ongoing transformations in China.

Authors

Institutions

Publication Details

Journal
Communication and the Public
Published
2024-09-16
DOI
https://doi.org/10.1177/20570473241270561
Citations
7
Primary Topic
Asian Culture and Media Studies
Type
article
Field-Weighted Citation Impact
30.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social media and the ordinary: Marginalized voices in neo/non-liberal China

C.J. WALLIS
7 citations
Communication and the Public
Asian Culture and Media Studies
30.03
article

Social media and the ordinary: Marginalized voices in neo/non-liberal China

C.J. WALLIS
article en
7 citations

Abstract

Thirty years into China’s internet development, much recent scholarship has focused on rather daunting forces—big data, algorithmic control, surveillance, and platformization, to name a few. This article centers the “small,” or how social media is articulated to the ordinary practices, pursuits, feelings, passions, ethical decisions, and struggles for voice of people who are socially, economically, and/or politically marginalized. I focus on these processes and practices among marginalized young creatives and domestic workers in a context I call “neo/non-liberal China,” which manifests as an amplification of prior discourses regarding self-responsibilization, happiness, and harmony along with greater social stratification, platformization, repression, and an emphasis on creativity and innovation. The analysis is grounded in theories of “ordinary affects,” or the inarticulable energies, passions, and forces that move bodies, and “ordinary ethics,” or the ethical aspects of practices, choices, and judgments that make up daily life and, thus, selfhood. I argue that centering diverse marginalized individuals’ passions, feelings, and ordinary ethical decisions, as these are articulated to social media, enables deeper insight into their dreams and goals and the challenges and obstacles they face in achieving these. Their experiences also speak to larger ongoing transformations in China.

Communication and the PublicVol. 9(4)
University of Michigan (US)
Openalex Percentile: Top 0%
Asian Culture and Media Studies
30.03
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.