Cross-platform sensitivity and algorithmic adaptability: How transnational creators navigate algorithms across Chinese and US-based platforms
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.
Authors
- Ziying Meng (ORCID: https://orcid.org/0000-0002-3532-6786)
Institutions
- The University of Melbourne (AU)
Publication Details
- Journal
- New Media & Society
- Published
- 2024-12-22
- DOI
- https://doi.org/10.1177/14614448241307578
- Primary Topic
- Digital Marketing and Social Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Melbourne Research, University of Melbourne