How we do elections research

• We use the latest deep research AI models to conduct a thorough, highly sourced synthesis of available sources related to communities, races, candidates and measures.
• This research is evaluated both by additional AI models and a team of qualified human researchers with backgrounds in election research, electoral transparency, and journalism.
• Researchers review, edit and validate our research before it becomes part of Change.vote’s underlying data corpus.
• The research is also consistently updated (with continued AI + human review) as an election approaches.

Election research process (©️ Change.vote )

How we generate alignment scores

• Scores & rationale are produced together to ensure consistent, aligned, informed deduction.
• Scores are calibrated to user needs and the type of race to ensure maximum alignment.
• Rationales have consistent structures and are optimized for relevance and candidate contrast to maximize voter utility.

Alignment score + rationale production at a glance. (©️ Change.vote )