About Voting Monitor
Voting Monitor measures how consumer AI products answer voter-style questions about Alaska's 2026 federal and state races. Daily polling, methodology disclosed, original data.
Who runs this
Voting Monitor is built by Geeks in the Woods, an Alaska engineering studio founded by twin brothers. It is published under Communities News, which builds local-newsroom infrastructure on the belief that every community deserves a newsroom, and is a sibling of Alaska News, its first newsroom. Voting Monitor is our accountability beat on the AI products voters increasingly use to research candidates, applied to Alaska's 2026 federal and state races.
Contact: [email protected]
Why we built it
Pew Research found 34% of US adults had used ChatGPT as of June 2025, roughly double the share from 2023. Gartner reported in May 2026 that 45% of B2B buyers used generative AI during a recent purchase decision, primarily to research vendors and products. Consumer AI is becoming a primary information surface, and nobody is systematically tracking what it tells voters about elections.
We started with Alaska 2026 because the state is home, the scope is manageable, the structural features are interesting (top-four primary, ranked-choice general), and the federal races (incumbents Sullivan and Begich) are nationally watched.
How findings get published
Each day the pipeline runs:
- Polling: a panel of consumer AI products gets asked the same voter-style questions about Alaska candidates. The current lineup is listed on the methodology page.
- Outcome parsing classifies each response: answered, declined, refused under pressure, unparseable, or error. Refusal is a first-class measured outcome, not hidden.
- Aggregation pools across topics and personas with Wilson 95% confidence intervals.
- An LLM summarizer generates candidate headlines from the day's aggregated data.
- A second LLM verifier checks every numeric claim against the source JSON. Hallucinated numbers never reach the dashboard.
- We review for framing disputes between summarizer and verifier and publish the disagreements rather than hide them.
For full detail see the methodology page.
Funding and conflicts
- Funding:
- None. Self-funded research project under Communities News. Daily API costs paid out of pocket.
- Commercial interests:
- None currently. Not selling this service to candidates, campaigns, parties, or AI companies. Not seeking acquisition.
- Political affiliations:
- None disclosed. We do not share our personal voting preferences and the data we publish does not depend on them.
- Conflicts of interest:
- None currently. If one emerges (for example, either of us taking a job at an AI company we cover), we will disclose it here.
How we handle errors
See /corrections.
License
Data published under CC BY 4.0. Use freely with attribution. Code is at github.com/news-community/benchmark (private during development) with a public mirror at github.com/news-community/public.
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