Cross-platform sensitivity and algorithmic adaptability

How transnational creators navigate algorithms across Chinese and US-based platforms

Bibliographic Data

ID7515193
AuthorsZiying Meng (0000-0002-3532-6786, The University of Melbourne, corresponding author)
Year2026
Volume28
Issue3
Pages1171-1189
Publication date2026-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/14614448241307578
OpenAlexW4405689648
LanguageEN
Citations received2
References cited46

Social media content creators and influencers increasingly use multiple platforms to mitigate the risk of (in)visibility in the volatile algorithmic environment. This article focuses on transnational creators’ algorithmic knowledge and practices across Chinese and US-based platforms. Drawing on in-depth interviews, participant-led walkthroughs and online observation with transnational creators, this research finds that creators learn each platform’s algorithmic preferences through ‘cross-platform sensitivity’, which also informs their practices of ‘algorithmic adaptability’ in the ever-changing platform environment. Creators’ cross-platform sensitivity and algorithmic adaptability show forms of everyday resistance to survive and cope with algorithmic power in the precarious multiplatform environment

Adaptability · Algorithm · Data science · Economics · Management · Sensitivity (control systems · Computer Science · Digital Marketing and Social Media · Engineering · Ethics and Social Impacts of AI · FinTech, Crowdfunding, Digital Finance

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