Broad research
AI scans and organizes source material, looking for relevant themes, claims, and patterns across many kinds of evidence.
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About Woke or Not
We measure how strongly a movie or show leans into modern identity politics, DEI, and activist messaging—so you can make a more informed choice before you watch.
How reviews are made
AI helps us gather and compare a much wider body of evidence. It does not publish the verdict. A human reviewer weighs the research, checks the context, and writes the final review and scores.
AI scans and organizes source material, looking for relevant themes, claims, and patterns across many kinds of evidence.
A reviewer evaluates the evidence, resolves conflicting claims, applies the same criteria, and takes responsibility for the final wording and score.
The evidence
The title itself comes first. Outside sources add context, but cannot replace what is actually on screen.
Each review uses the same framework. On-screen content carries the most weight; public reaction and creator history provide supporting context.
Reading a score
The final 0–100 score shows the overall strength of the themes we track. Think of any individual score as an approximate range of ±10 points, not a laboratory measurement.
A high score does not mean a title is bad, and a low score does not mean it is good. The breakdown is there so you can decide what matters to you.