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Friday May 8, 2026 5:00pm - 5:30pm EDT
Redline is a story auditing platform that formed as an outgrowth of academic integrity checks. As you explore student work, you think about angles, methodology problems, data sourcing, reproducibility, AI-generated copy, confirming interviews – a hundred and one gotchas and potential missteps that only become more prevalent as we hand off more and more to AI. As I found myself being able to provide students with much more detailed feedback with a much faster turnaround time, it quickly became obvious that my grading platform could serve just as well for journalism as a whole.
Redline is built around an agentic system that processes your story and supplemental documents, automating the misstep-finding and first-pass editing process. It studies your copy, provides feedback, and tackles resource-intensive steps like verifying source and attempting to reproduce your research and findings (whether they're Google Docs, Word files, spreadsheets Github repos, or a handful of other formats).
The real bonus is its agentic and extensible nature - every newsroom has its own standards and guidelines, and individual stories and verticals might need different angles in its process. By providing several levels of "pluggability" you're able to customize the platform to exactly what suits your use case.
Speakers
avatar for Jonathan Soma

Jonathan Soma

Knight Chair in Data Journalism, Redline
Jonathan Soma is the Knight Chair in Data Journalism at Columbia University, where he serves as Director of the Data Journalism MS program and the Lede Program, an intensive data journalism summer course. His lectures cover everything from basic Python and data analysis to interactive... Read More →
Friday May 8, 2026 5:00pm - 5:30pm EDT
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