Digitally Facilitated Gentrification in Shanghai's Historic Urban Landscapes: The (Re)distribution of Aesthetic Sensibilities Through Social Media Platforms

Chenxin Wan & Shenjing He

Antipode2026https://doi.org/10.1111/anti.70140article
AJG 3
Weight
0.50

What the paper says

Drawing on Rancière's “politics of aesthetics,” this paper frames digitally facilitated gentrification as a battleground for visibility and associated value extraction between different stakeholders and investigates how aesthetic sensibilities are redistributed through social media. Combining online analysis and on‐site observations in a historic neighborhood, we reveal that social media privileges consumption‐oriented aesthetics that are conducive for gentrification, while offering little visibility to grassroots narratives that challenge the dominant aesthetic regime. This redistribution of aesthetic sensibilities between stakeholders at the urban–digital interface is driven by the underlying state–capital nexus, which harnesses platform affordances to reposition historic urban landscapes aligning to global aesthetic norms, disguising dissensus and naturalizing gentrification. Our study redefines digitally facilitated gentrification as a contested process of consensus‐building and dissensus‐deflection based on aesthetic norms defined by the state–capital nexus.

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https://doi.org/https://doi.org/10.1111/anti.70140

Or copy a formatted citation

@article{chenxin2026,
  title        = {{Digitally Facilitated Gentrification in Shanghai's Historic Urban Landscapes: The (Re)distribution of Aesthetic Sensibilities Through Social Media Platforms}},
  author       = {Chenxin Wan & Shenjing He},
  journal      = {Antipode},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/anti.70140},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.