Spanish-language climate disinformation, measured.

A study that already has its instrument.

On the June 15 call, after seeing our analysis of the Spanish-language information ecosystem, the ask was direct: commission a study like that one, for climate disinformation, in Spanish, as a partnership between Climate Power En Acción and Tiempo Company. This is the prototype. It shows what the instrument already does, what the funded study adds, and how the two come together for climate.

We measure how narratives travel, not who is right.

The instrument does not issue a true-or-false verdict on a post. It reads four things on every story and every comment. The disinformation signal is the prevalence and reach of the frames and casts that carry distrust.

The pipeline, on one real story.

A single Spanish-language story, end to end. At each step, what the engine does today, and what the funded study adds.

Proven, and already seeing climate.

The engine has run a full cycle over the Spanish and English ecosystem and ships a real issue. The current corpus was not built for climate, and even so it already holds 323 climate stories, enough to show the signal and the shape of the full study.

In Spanish, climate arrives as weather, not debate

The most-viewed climate stories are storms, wildfires, floods. At the headline level the dominant position is "none." The ground is empty of framing, which makes it easy to capture for whoever frames it first.

But the signal already lives in the comments

Even on a corpus that was never pointed at climate, the pipeline already catches the conspiracy, nativist, and anti-imperial frames, in a thin slice of just 98 climate comments. The slice is deliberately small; the point is that the engine surfaces the signal without being prompted to. Pointed at climate, it becomes measurable. How that thin slice answered, so far:

Frames across 98 climate-story comments · each bar = comments · multi-label

sympathy23

mockery23

emotional rage21

pragmatic21

conspiracy6

nativist6

anti-imperial3

Disinformation-adjacent framesOther frames

Captured verbatim, Spanish-language sources

The room your audience reads, and the room we build.

23 sources run today, across the spectrum, in both languages. The funded study widens that roster: local sources in your priority states and a deeper bench of creators, left and right, in Spanish and in English. The new entries below are examples; the study's research surfaces many more.

Every wave, the full picture.

Which narratives circulate, how they are framed, who they cast, how the coverage compares across outlets and languages, and how all of it trends. Six of the views the study delivers.

Proof you reached beyond the base, not applause.

The problem you raised on the call: how do you show you reached voters beyond the base and first-time voters, not the people who already agree, and how do you tell that story to funders after the election. Engagement with your own base is the easiest data to gather and the least useful.

• 01

  Reads beyond the base

  It measures the narratives circulating where the voters beyond the base are, across the spectrum, not only where the base already nods along.

• 02

  Separates noise from movement

  The outlet–audience gap and the shifting cast detect when a counter-narrative changes the reaction, not just how many likes it collects.

• 03

  Gives a baseline and a trend

  It measures each message's prevalence before, during, and after a push. That before-and-after is the story your funders need after November.

• 04

  Feeds your focus groups

  It tells you which narratives are already moving, and who they blame, so testing starts from the live ground instead of from scratch.

Why you can trust the numbers.

The value lies as much in how we measure as in what we measure: every figure is reproducible and traceable to its source.

Honest readThe audience layer is the activated commenters on the most-viewed stories, not a representative sample of all Latinos. We present it as the room your message lands in, and we are explicit that it is not a poll.

The team built for this question.

Proving whether a message changed how people think is a measurement problem as much as a media one. That is the background behind this instrument.

From prototype to living instrument.

The pilot proves the engine works and that the Spanish-language climate signal is real. The full study turns it into a continuous measurement instrument. Indicative investment below, scope-dependent.