Nieman Foundation at Harvard
HOME
          
LATEST STORY
From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
ABOUT                    SUBSCRIBE
Oct. 27, 2015, 3:18 p.m.
Reporting & Production

NarcoData is a new collaboration that aims to track and visualize the drug cartels of Mexico

When the Mexican digital news site Animal Politico obtained previously classified government documents on drug cartels, it wanted to figure out the best way to unleash the “great potential” of the data.

NarcoData, a collaboration between Mexican digital news site Animal Politico and data journalism platform Poderopedia, launched Tuesday with a mission to shine light on organized crime and drug trafficking in Mexico.

“The Mexican state has failed in giving its citizens accurate, updated, and systematic information about the fight against organized crime,” said Dulce Ramos, editor-in-chief of Animal Politico and the general coordinator for NarcoData. “NarcoData wants to fill that empty space.”

The site examines four decades of data to explain how drug trafficking reached its current size and influence in the country. The idea for the project came about last year, when Animal Politico obtained, via the Mexican transparency act, a government chart outlining all of the criminal cells operating in the country. Instead of immediately publishing an article with the data, Animal Politico delved further to fill in the information that the document was missing.

Even a couple of months later, when the document went public and some legacy media outlets wrote articles about it and made infographics from it, “we remained sure that that document had great potential, and we didn’t want to waste it,” Ramos said. Instead, Animal Politico requested and obtained more documents and corroborated the data with information from books, magazines, and interviews.

NarcoData’s platform was designed by Poderopedia, the data visualization company founded by Chilean investigative journalist and former Nieman-Berkman fellow Miguel Paz. One of Poderopedia’s initial projects was to document a who’s who of the most powerful people in Chile. That mission has expanded to document the leaders of Venezuela and Colombia, and, more broadly, to find better ways of doing journalism using technology across Latin America.

Poderopedia and Animal Politico collaborated on the visualizations. “One of the goals was to learn, together, better ways to structure information and have team workflows that worked well over two time zones and different professional backgrounds,” Paz said. “It was a great partnership experience on every level.” Funding came from HacksLabs, Hivos, the Avina Foundation, and the International Center for Journalists.

NarcoData is one of a growing number of projects that seek to provide context and visualization around previously obscured or hard-to-collect data on issues like gun violence. Encuentros Mortales, for example, is a Spanish-language site tracking killings of undocumented immigrants; its sister site, Fatal Encounters, counts police-officer-involved homicides in the U.S, as does The Guardian’s The Counted.

Going forward, the NarcoData team plans to release several new visualizations, to delve further back in Mexico’s drug-trafficking history, and to track cartel activity year-by-year throughout President Enrique Peña Nieto’s term.

“I see NarcoData as a great building block for many new projects to come,” Paz said.

Laura Hazard Owen is the editor of Nieman Lab. You can reach her via email (laura_owen@harvard.edu) or Twitter DM (@laurahazardowen).
POSTED     Oct. 27, 2015, 3:18 p.m.
SEE MORE ON Reporting & Production
Show tags
 
Join the 60,000 who get the freshest future-of-journalism news in our daily email.
From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
Within days of visiting the pages — and without commenting on, liking, or following any of the material — Facebook’s algorithm recommended reams of other AI-generated content.
What journalists and independent creators can learn from each other
“The question is not about the topics but how you approach the topics.”
Deepfake detection improves when using algorithms that are more aware of demographic diversity
“Our research addresses deepfake detection algorithms’ fairness, rather than just attempting to balance the data. It offers a new approach to algorithm design that considers demographic fairness as a core aspect.”