Install | Jay Alvarrez Coconut Oil Video Full _best_ Viral Jay

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3.2 Analytical Framework

  1. Diffusion Mapping – Employed a Susceptible‑Infected‑Recovered (SIR) model adapted for social media (Kitsak et al., 2010) to estimate the basic reproduction number (R₀) of the meme across each platform.
  2. Semiotic Coding – Conducted a frame‑by‑frame content analysis (Bohnsack, 2011) of 120 user‑generated remixes, coding for visual motifs (e.g., “oil drip”, “sun glare”, “install spin”). Inter‑coder reliability (Cohen’s κ = 0.84).
  3. Economic Impact Estimation – Utilised a difference‑in‑differences (DiD) approach comparing coconut‑oil sales in markets with high meme exposure (top 20 % of TikTok viewership) versus low‑exposure markets.
  4. Algorithmic Correlation – Applied machine‑learning (XGBoost) to predict view‑count growth based on metadata (hashtags, caption length, posting time) and visual features (motion intensity, color palette). Feature importance scores were extracted via SHAP values.

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3. Decoding the "Install" Keyword

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