An interactive search engine for hidden connections in politics. See what's being said, who's saying it, and who's funding what.Launch
We currently index articles, sources, authors, tweets, tweeters, candidates, committees, donors, and employers. We extract entities and other natural language processing features such as hashtags, blobs, and lemmas.
We index explicit connections within datasets and compute implicit links between datasets based on a combination of language and time-based features.
Data from lobbying disclosures is coming soon. We're also working on more sophisticated entity resolution algorithms and indexing data from Reddit, Gab, 4chan, Wikidata, and legislation as well as expanding into TV and radio content.
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