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Category
First title

The Last of Us

2023

Category
Second title

DMV

2025

The Last of Us vs DMV: Which Is More Woke?

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The Last of Us appears more woke than DMV based on AI analysis, with a difference of about 19 points. Community votes agree with the AI verdict.

TV ShowThe Last of Us2023
32Score
Very Little Woke

Community (votes): ~90/100

See full breakdown for The Last of Us
TV ShowDMV2025
13Score
Peak Television

Community (votes): ~50/100

See full breakdown for DMV

AI vs community

AI verdict

The Last of Us is more woke than DMV (AI).

The Last of Us leads by 19 points on the AI scale.

Community verdict

The Last of Us reads more woke in community votes than DMV.

Vote-weighted spread: about 40 points (90 vs 50).

Why the scores diverge

  • The 19-point gap reflects how much ideology steers each story on our six-dimension pass, not just vibes.
  • The Last of Us highlight: Dialogue occasionally veers into overt messaging, but it generally serves the narrative.
  • DMV highlight: Dialogue feels natural and serves the comedic premise rather than pushing an agenda.
  • The Last of Us: Characters are well-developed and not merely symbols of representation.
  • DMV: Characters are quirky and relatable, not merely symbols for representation.

The Last of Us reads higher on ideology over story than DMV, which nudges the overall profile message-forward. The Last of Us reads higher on legacy rewriting than DMV, which nudges the overall profile message-forward. The Last of Us reads higher on modern politics injection than DMV, which nudges the overall profile message-forward.

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Frequently asked questions

Which is more woke, The Last of Us or DMV?
The Last of Us scores higher on the AI pass (32/100 vs 13/100).
What do community votes say?
Votes lean more woke on The Last of Us (90 vs 50 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.