Which is more woke, Obsession or Miraculous: Tales of Ladybug and Cat Noir?

On AI scores they are within 5 points (13/100 vs 17/100), so we call it a tie for now.

What do community votes say?

Community averages are within the tie band or too close to call (10 vs n/a on our vote-weighted scale).

Why might AI and votes disagree?

AI scores come from a structured model pass; votes capture how people read the politics or messaging. Trailers, culture-war framing, and release timing can push votes away from the model.

Obsession vs Miraculous: Tales of Ladybug and Cat Noir: Which Is More Woke?

Share this comparison

Both titles show similar woke levels based on AI analysis and community votes.

MovieObsession2026

13Score

Absolute Cinema

Community (votes): ~10/100

See full breakdown for Obsession

MovieMiraculous: Tales of Ladybug and Cat Noir2025

17Score

Absolute Cinema

Community (votes): not enough data yet

See full breakdown for Miraculous: Tales of Ladybug and Cat Noir

AI vs community

AI verdict

Obsession and Miraculous: Tales of Ladybug and Cat Noir tie on the AI woke score (within a few points).

AI scores are within a few points (13 vs 17); we call it a tie.

Community verdict

Community averages are too close to call (or one side has no votes yet).

Why the scores diverge

Both titles are within a few AI points, so the tiebreaker is the per-dimension notes in each full write-up.
Obsession: Characters feel like they have depth beyond mere representation.
Miraculous: Tales of Ladybug and Cat Noir: Characters show some depth but can feel like they serve a symbolic purpose.

Miraculous: Tales of Ladybug and Cat Noir reads higher on legacy rewriting than Obsession, which nudges the overall profile message-forward. Miraculous: Tales of Ladybug and Cat Noir reads higher on tokenistic characters than Obsession, which nudges the overall profile message-forward.

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Frequently asked questions

Which is more woke, Obsession or Miraculous: Tales of Ladybug and Cat Noir?: On AI scores they are within 5 points (13/100 vs 17/100), so we call it a tie for now.
What do community votes say?: Community averages are within the tie band or too close to call (10 vs n/a on our vote-weighted scale).
Why might AI and votes disagree?: AI scores come from a structured model pass; votes capture how people read the politics or messaging. Trailers, culture-war framing, and release timing can push votes away from the model.