Methodological Specification for the Mimicry Index (MI-1.0): Quantifying Expressive Distortion in Algorithmic Habitats
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866901320919678976 |
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| author | Pierce, J. Matthew |
| author_facet | Pierce, J. Matthew |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19635010 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Specification for the Mimicry Index (MI-1.0): Quantifying Expressive Distortion in Algorithmic Habitats Pierce, J. Matthew Personal Autonomy Interpersonal Relations Social Environment Self Concept Self Psychology psychological adapation Creator Economy Digital Humanities Digital Workforce <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> |
| title | Methodological Specification for the Mimicry Index (MI-1.0): Quantifying Expressive Distortion in Algorithmic Habitats |
| topic | Personal Autonomy Interpersonal Relations Social Environment Self Concept Self Psychology psychological adapation Creator Economy Digital Humanities Digital Workforce |
| url | https://doi.org/10.5281/zenodo.19635010 |