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| Hlavní autor: | |
|---|---|
| Médium: | Recurso digital |
| Jazyk: | angličtina |
| Vydáno: |
Zenodo
2026
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| Témata: | |
| On-line přístup: | https://doi.org/10.5281/zenodo.19635010 |
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- <p>This methodological specification introduces the Mimicry Index (MI-1.0), a longitudinal framework designed to quantify "Expressive Distortion" within digitally governed environments. While traditional platform metrics (views, engagement) prioritize system performance, the MI-1.0 focuses on the psychological impact of algorithmic governance: the systematic convergence of individual behavior toward platform-favored norms. Grounded in the Expressive Space Framework and Self-Determination Theory (SDT), the model operationalizes the "autonomy-in-relatedness paradox" (<a href="https://journals.sagepub.com/doi/full/10.1177/0146167219867964">Kluwer et al., 2020</a>). The index utilizes a multi-dimensional protocol to calculate the statistical distance between a creator’s unique historical baseline and their post-catalyst output across four pillars:</p>