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7 tips for data-driven journalism about LGBTQ+ communities
By Jasmine Mithani and Kae Petrin
Posted onConcepts and methods to help you do rigorous journalism even when the data is tricky, Part 2.
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Our search for the best OCR tool in 2023, and what we found
By Sanjin Ibrahimovic
Posted onA side-by-side comparison of five OCR tools using multiple kinds of documents, from DocumentCloud.
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I tested how well ChatGPT can pull data out of messy PDFs (and here’s a script so you can too)
By Brandon Roberts
Posted onScattered errors and hallucinated data make it an exploratory tool, not a shortcut to analysis.
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Story recipe: U.S. schools restrain and seclude students thousands of times per school day—how often where you live?
By Emilie Munson, Ying Zhao, and Matt Rocheleau
Posted onWhere to find the data, how to explore it, and questions to ask to report the story for your community.
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Sincerely, Leaders of Color: Keep DEI a priority, even when the economy says otherwise
By Joanne Griffith
Posted onWhen news organizations say they support diversity efforts but their actions say otherwise, teams and communities lose faith.
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Sincerely, Leaders of Color: Three things that could be hindering your newsroom’s DEI progress
By Amanda Zamora
Posted onTo get beyond short-lived gains, it’s time to commit to vision-driven goals that lead to real results.
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Story Recipe: Using Census migration data to find out where young adults are moving
By Brent Jones and Eric Schmid
Posted onOur reporting found that people who grow up in St. Louis tend to stay in St. Louis: About 3 out of 4 young adults who were here at age 16 were also here at age 26. Here’s how you can use federal data to see where people are moving to and from in your area.
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Story Recipe: Exploring Census microdata about your county
By Rebecca Tippett
Posted onWe recently received a request from a resident in Lincoln County, asking for assistance in locating data related to digital inclusion, in order to help enroll residents who qualify for the FCC Emergency Broadband Benefit. Information that can answer this question is collected by the U.S. Census Bureau’s American Community Survey—the summary tables provide details on household computer availability and internet subscriptions, poverty status at various levels of the federal poverty line, and SNAP receipt. What the tables don’t provide is the intersection of these characteristics. To answer this, we need the microdata or individual record data. Here’s how we went about answering this question.
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Three edits you can bring to every story to make disability visible in news
By Hannah Wise
Posted onNewsrooms are starting to understand they need to make accessibility more than an afterthought. Editors are positioned to propel much needed change — even one story at a time.
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It’s time to rethink how we report election results
By Thomas Wilburn
Posted onWe need to fundamentally rethink the ways we report election results. Many of our maps and practices—from early calls to “trends” in vote share on election night—are confusing if not outright deceptive. The question isn’t “how do we optimize for speed, accuracy, and volume?”, it’s “how do we make sure our practices improve democracy instead of just observing it.”
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Slack moderator structures should share power and guard against burnout
By Sophie Ho and Sisi Wei
Posted onFocusing on logistics, emotional labor, welcome and support, safety, and membership review
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Memberkit 1.0: Upgrade your analytics and build a data-powered membership program
By Brian Boyer
Posted onA field-tested set of reports, patterns, and techniques that can help your newsroom think about how to execute a data-driven strategy for membership.
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A comparison of four major COVID-19 data sources
By Irena Fischer-Hwang and Justin Mayo
Posted onA variety of datasets can help journalists track the spread of COVID-19. But which should you rely on? What’s the difference between them? What are the advantages and disadvantages to each? This guide will walk you through four major COVID-19 data sources: Johns Hopkins University, COVID Tracking Project, USAFacts, and The New York Times.
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COVID-19 story recipe: Analyzing nursing home data for infection-control problems
By Mike Stucka
Posted onA USA Today analysis found that three-quarters of nursing homes have been cited for infection-control problems in recent years. Here’s how you can reproduce the story for your community.
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Event Roundup, March 2
By Erika Owens
Posted onIt’s NICAR this week!
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Buddying up with the news-nerd community
By Ryan Pitts
Posted onWhere do you turn with a question that’s stopping your data project in its tracks? If you don’t have a news-nerd colleague nearby, there’s a whole community out there happy to help. Here are three ways you can tap into networks of support, both right now and next week.
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What Product Teams Should Know About Working With Newsrooms
By Brittany Hite and Christopher Chung
Posted onEditorial and product teams are more effective and impactful when they work together, not separately. Here’s a guide to help product teams better understand their news colleagues.
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Event Roundup, January 6
By Erika Owens
Posted onKick off the new year applying to a bunch of things!
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How We Reported on Gunshot Victims’ Access to Trauma Care
By Sean Campbell, Laura Laderman, and Maya Miller
Posted onUsing data on the more than 12,000 shootings recorded by the NYPD in a 9-year-period, we mapped shootings relative to trauma centers and looked at the relationship between fatality and distance to a trauma center. We also looked at how the number of ICU beds in trauma centers nearby victims affected fatality.
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Mining Social Media: Finding Stories in Internet Data
By Lam Thuy Vo
Posted onToday we’re featuring an excerpt from Mining Social Media: Finding Stories in Internet Data by Lam Thuy Vo, which is being released this week.
What does peer support in journalism look like: Insights from U.S. and international experts