Who Is This Made For?

Hundreds of services tell you what entertainment is about. WhatSphere measures who it was made for — from the production, not from the coverage.

Demographic scores for movies, TV, games, and documentaries. Built by comparing credits, source material, and on-screen decisions. Press narrative is a claim we check. It is not the research.

5,422 titles scored from production records

Why we do not take coverage at its word →

Start from a question

Each card is a shareable filter on scores we already publish. Five of them have an essay that states the cutoff and links to the methodology.

What we measure

Every title is scored from the same checklist. The inputs are public enough to challenge; the weights live on the methodology page.

Gender Axis

0 = strongly male-targeted, 100 = strongly female-targeted. Cast billing, genre seed, lead demographics, content signals, marketing.

Age Axis

0 = youth-oriented, 100 = mature-audience. Rating, complexity, platform, pacing, and violence profile.

Racial Audience

Representation across 9 categories, measured against a production-origin baseline — not against a recap of who “should” have been cast.

Faithfulness

Adaptations only: plot, character, tone, and cultural context versus the source text. Originals are marked N/A, not scored as unfaithful.

Advocacy Tiers

Entertainment, Mixed, Message-Leaning, or Advocacy-Driven — from swaps, org involvement, and attributed creator statements, not from headlines.

Audience Breadth

Universal to Niche. How tightly the four quadrant scores cluster — a spread, not a compliment.

Why the numbers look different from the coverage

Data, not outrage

A score traces to a credit, a page of source text, or a dated statement with a URL. If we cannot point at the record, we do not inflate the count.

Symmetrical rules

The same swap rule runs in every direction. Whitewashing and race-swapping are the same class of event with the same weight.

Open method

Formulas, confidence floors, and known biases are published. Read the methodology and challenge a score when the record disagrees.

Latest data stories

Catalog-wide findings written from the scored set — sample sizes stated, small cells flagged, no borrowed narrative from a feature piece.

All data stories All insight topics