PollFinder.ai leverages large language models to help newsrooms collect and organize both horserace and issue polls, enabling journalists to write stories that are informed by an up-to-date aggregation of public opinion polls.

Poll Detector The Poll Detector extracts metadata such as start date, end date, pollster, and sample size. This helps identify if each item in the firehose of data is a new poll or simply coverage of a poll that has already been collected. This component alone can save valuable time spent on rote data-entry tasks and reduce burnout and staffing issues during elections.

Question Indexer The Question Indexer extracts and indexes the text of the questions asked in each poll. This machine-readable index of questions enables aggregators to create robust data feeds containing detailed issue polling for journalists to use in their stories.

Response Extractor The Response Extractor extracts topline and crosstab numbers. This ensures that the resulting data is timely, useful, and searchable, providing aggregators, journalists, and the public with easy access to comprehensive poll data.