Platform epistemology

Clicks: 1
ID: 338435
2026
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Abstract
Abstract This chapter conceptualizes platform epistemology through the case of Instagram influencers’ efforts to understand the platform’s algorithms. Framed as a form of platform power, platform epistemology highlights platforms’ control over the epistemic resources shaping the practices by which influencers construct and legitimate knowledge about algorithms. Influencers learn about algorithms within a community of practice, through a variety of processes: observation, experimentation, desk research, social connections—particularly with platform employees—and training from self-proclaimed algorithm experts. Throughout these learning processes, Instagram, as both an infrastructure and commercial entity, shapes the availability, distribution, and perceived legitimacy of information, influencing how the community constructs and values knowledge about its algorithms.
Reference Key
openalex_W7225117707 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal Oxford University Press eBooks
Year 2026
DOI
10.1093/9780197809112.003.0004
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