In an era when local newsrooms are stretched thinner than ever, keeping up with the constant deluge of government regulations and updates can feel impossible. As federal regulations only continue to grow in complexity and volume, journalists face the challenge of not only sifting through the data but in discerning what matters most for their communities.
What we are building with AppliedXL is a real-time information company that leverages computational journalism techniques. Combining editorial standards with AI, to surface novel signals that otherwise with human workflows you would miss.
Local Lede is powered by algorithms integrated with input from AP journalists that analyze data from trusted public sources, provide context, and perform programmatic data validation and self-checks.
At its core, this technology is based on AppliedXL's Live Ledger, which extracts events and risk signals from vetted public data sources. Marconi says this is a way of indexing and interpreting different sources of data, essentially organizing the world of regulatory filings and company disclosures through a journalistic lens.
Collection
[
|
...
]