2024/12/22 by Ziying Meng · 1 voice
Social Sciences · Business, Management and Accounting · #Digital Marketing and Social Media #Ethics and Social Impacts of AI #FinTech, Crowdfunding, Digital Finance
paper · doi:10.1177/14614448241307578
openalex publication_date 2024/12/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
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.