Data-Journalism   404

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Tools for Trust
list of tools for data journalism, fact-checking
data-journalism  disinformation 
29 days ago by pax
GitHub - gwk/muck
Build tool for data analysis projects
data-journalism  research  build  utility  workflow 
9 weeks ago by mjlassila
Some suburbs take only seconds to review red light camera citations, analysis shows - Chicago Tribune
The Tribune sought approval logs for a recent three-month period from a sampling of departments. Those logs chart down to the second when officers approve each ticket. Reporters could determine how long each officer typically spent to review a citation. On the high end, one officer’s median number of seconds for review — the midpoint of his review times — was about 24 seconds between citations.

But some officers were much faster. For Skokie Officer Steven Odeshoo, the median was 7 seconds.

On a recent morning, he showed the Tribune how: sitting in front of a 42-inch flat screen TV that instantly pulled up video after video, with special color-coded cues that let him know if the intersection had unique rules such as no turn on red, allowed him to fast-forward the videos to make a quicker judgment. With two quick clicks of the mouse, a ticket was approved or rejected, and the next suggested violation immediately began playing.

Faster still was Lynwood Officer Stevie Bradich, at 5 seconds. Her deputy chief explained that with the no-turn-on-red, they were relatively easy calls.

“I can see how that can be done in as short as 5 or 6 seconds, and have an approval with what is a true violation,” Shubert said. “Yes, it’s fast, but it’s a pretty fast process. You’re not actually inputting any numbers. It’s just a lot of mouse clicks.”

But one department acknowledged its numbers suggest problems. In Riverdale, one officer typically took 3 seconds to review tickets.
best  investigations  data-journalism  padjo  compciv  foia 
february 2018 by danwin
3 Smart Data Journalism Techniques that can help you find stories faster
Text processing has never been easier or more powerful. Across industries, analysts increasingly complement close reading with computational approaches to gain insight from large volumes of text. Companies, for instance, assess customer sentiment from millions of reviews or follow topics discussed on social media in real-time.

Meanwhile, the volume of documents available for journalistic inquiry has exploded: reams of information on government operations (Wikileaks Cablegate: 200,000 pages,) private wealth shelters (Paradise Papers: 13.4 million pages,) and public figures’ communication (Sarah Palin’s emails: 24,000 pages) leak, it seems, almost monthly.
data-journalism  data  machine-learning  compciv  machine-journalism 
january 2018 by danwin
Khartis - cartographie thématique
application de création de cartes de l'atelier de cartographie de SciencesPo.
mapping  data-journalism  dataviz  tool 
january 2018 by davidbenque
We Used Broadband Data We Shouldn’t Have — Here’s What Went Wrong | FiveThirtyEight
Over the summer, FiveThirtyEight published two stories on broadband internet access in the U.S. that were based on a data set made public by academic researchers who had acquired data from Catalist, a well-known political data firm. After further reporting, we can no longer vouch for the academics’ data set. The preponderance of evidence we’ve collected has led us to conclude that it is fundamentally flawed. That’s because:

The academics’ data does not provide an accurate picture of broadband use at the county level relative to other sources.
Some of the data that the academic researchers received from Catalist originated with a third-party commercial source, and Catalist acknowledged that it did not vet that data itself. The researchers and Catalist also disagree about what Catalist said the data represents and what it could be used for.
retractions  methodology  dirty-data  data-journalism 
january 2018 by danwin
Death & Dysfunction | An NJ.com Special Investigation
Hey listers,

We published an 18-month data investigation into our state medical examiner system I wanted to share:

death.nj.com

We fought for months to acquire a database of all 420,000 cases referred to NJ medical examiners over a 20 year period. Analysis revealed a system that’s on the brink of collapse. Our reporting lead us to cases of missing body parts, potential child murders going without investigation, innocent people languishing in jail and major lapses/conflicts of interest in police involved shooting investigations.

We’ll be posting the data, as well as the replication analysis my colleague did to check my work on data.world in the coming days. We’ll also post our code to github once I clean it up and make it readable for humans.

If you like it, please share and we would love any feedback.
data-journalism  nicar  investigations 
december 2017 by danwin
Under Trump, E.P.A. Has Slowed Actions Against Polluters, and Put Limits on Enforcement Officers - The New York Times
The Times built a database of civil cases filed at the E.P.A. during the Trump, Obama and Bush administrations. During the first nine months under Mr. Pruitt’s leadership, the E.P.A. started about 1,900 cases, about one-third fewer than the number under President Barack Obama’s first E.P.A. director and about one-quarter fewer than under President George W. Bush’s over the same time period.
data-journalism  investigations 
december 2017 by danwin

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