TrustInsights.ai — Angular Ball Bearing Content — AI Inflection Analysis
Generated 2026-03-30T12:41:35.111730+00:00
The composite index is the mean z-score across all 9 category composites for each month. Blue shading = pre-AI period; orange shading = post-AI period. The dashed red line marks the January 2023 AI inflection point. Light gray bars show article count on the right axis. The shaded ribbon spans the IQR (Q1–Q3).
Monthly median values for any individual metric. Select a metric below. The shaded ribbon spans the IQR (Q1–Q3) for each month.
Box plots showing the distribution of a metric before and after January 2023. Boxes span Q1–Q3; horizontal line = median; whiskers extend to 1.5×IQR; filled dots = sampled data distribution; open circles = outliers beyond the whiskers.
Per-category composite z-score medians for pre-AI (blue) vs. post-AI (orange) periods. Error bars span the interquartile range (Q1–Q3) for each period. Higher is better across all categories (sign-flipped where needed).
Percentage change in variance from pre-AI to post-AI period for each metric. Blue = convergence (variance decreased); Red = divergence (variance increased). Metrics are grouped by category.
Number of articles published per month. The 6-month rolling average smooths seasonal variation. The dashed line marks the January 2023 AI inflection point.
This report analyses 75576 articles published between 2010-01-01 and 2026-03-10, split at the AI inflection point of 2023-01-01.
Composite Index Construction: For each of the 49 numeric metrics, a z-score is computed relative to the entire corpus (mean 0, std 1). Metrics where a lower raw value represents better writing quality (e.g. Flesch-Kincaid Grade, passive sentence ratio) have their z-scores sign-flipped so that "higher is always better" across all normalised scores. The 49 z-scores are averaged within each of the 9 categories to yield category composites; the 9 category composites are then averaged into a single overall composite index.
The 9 writing quality categories are:
Category comparison chart: Shows per-category composite z-score medians for pre vs. post-AI periods. Error bars span the interquartile range (Q1–Q3) for each period.
Variance heatmap: Shows the fractional change in sample variance (post − pre) / pre for each metric. Blue indicates convergence (writing became more uniform); red indicates divergence (writing became more variable).