Global Investigative Journalism Network (https://archive.gijn.org/category/uncategorized/page/9/)
“Hello,” wrote the anonymous source to a German newspaper, “this is John Doe. Interested in data?” Thus began what would soon become an international financial investigation into what are being called the Panama Papers—an investigation so massive that even whistleblower Edward Snowden, on Twitter, called it the “biggest leak in the history of data journalism.”
People regularly ask what tools to use or what programming language to learn for data-driven journalism (ddj). There is no right answer for it, especially considering that technology and tools available are evolving quickly in the field.
Facebook and Google and their humongous data crunching machines flourish while fine media wilt. How to compete? They take media’s original costly-to-produce-content for free and make it available to users to circulate, anticipating their needs with their intelligent algorithms.
The trove of files that make up the Panama Papers is likely the largest dataset of leaked insider information in the history of journalism. For ICIJ’s Data and Research Unit, it offered a unique set of challenges. The overall size of the data (2.6 terabytes, 11.5 million files), the variety of file types (from spreadsheets, emails and PDFs to obscure and old formats no longer in use), and the logistics of making it all securely searchable for more than 370 journalists around the world are just a few of the hurdles faced over the course of the 12 month investigation.
What’s the data-driven journalism crowd tweeting? Here are the top links for May 13-24: Best dataviz of the year (@Gizmodo); 85 tools for digital journos (@Journalism2ls); missing women in Mexico (@Univ_Data); how to analyze big leaks (@M_Mandalka); news graphics collection (@marijerr); & more.
Mexican newspaper El Universal has put a face to the 4,534 women who have gone missing in Mexico City and the State of Mexico over the last decade: Ausencias Ignoradas (Ignored Absences) aims to put pressure on the government and eradicate this situation.
What’s the data-driven journalism crowd tweeting? Here are top links for July 7-11: Our World in Data (@MaxCRoser); narrating networks (@JWYG); sentences off the grid (@edwardtufte); FiveThirtyEight’s ddj workflow with R (@FiveThirtyEight); Netzwerk Recherche conference video (@spreerunde); & more.
In a short story by Jorge Luis Borges, the Aleph is a point in space that contains all others. To those who see it, it presents the entire universe at once — an investigative reporter’s dream. Over the past six months, I’ve been working for OCCRP to produce a tool named after this mythical object. It’s based on a prototype I hacked up as part of my 2014 Knight International Journalism Fellowship, and it has now grown into a data research tool as part of the Investigative Dashboard.
What’s the data-driven journalism crowd tweeting? Here are top links for Aug 2-8: poverty redefined (@nytimes); Spain’s elections (@politibot); Nigeria’s debts (@BudgITng); subway directions, shown above (@nicolaskruchten); PokemonGo social divide (@lemondefr); 3D incident reconstruction (@TB_Times); & more.
At First Draft, we frequently receive emails from a whole range of people asking how they can start doing the sort of online open-source investigation and verification that they’ve seen us doing. The skills and methodologies used are all something that can be learnt through a little persistence, but here are a few pieces of advice to get you started.