What appeared to be a case of money laundering done through a network of laundromats and car washes turned out to be the largest corruption network in Brazilian history, and one that ultimately extended to at least 12 countries. If it weren’t for the collaborative efforts of journalists and media houses across the continent – and into Africa – the whole story could not have been told.
Wondering how to best adapt data journalism for broadcast? UK online journalism expert Paul Bradshaw has done a round-up of impressive examples from five countries — a primer on exploring data storytelling for video and television.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 19 to 25 includes Germany’s housing discrimination problem by @SPIEGELONLINE and @br_data, data on police interaction with the public from @StanfordEng and @StanfordJourn and a report on big data for gender from @Data2X.
Data on government workforces might not sound that exciting — that is until you consider the trove of information it can help uncover. Here’s how journalists worldwide are using FOI requests to dig into great stories.
The topic of big media ownership is often left unquestioned, but Mexican investigative journalist Marcela Turati believes that it is important to unveil the hidden interests of big companies because companies that disguise their business strategies as journalism can do much harm.
Four years of work and 8,000 judicial rulings later, the team at Univision Data shows how in Costa Rica, a person is more likely to be convicted of a crime if they are assigned a public defense attorney than if they have a private one. Their methodology included web scraping, R and logistic regression — a statistical method common in social sciences but practically unexplored in newsrooms.
Here are top data journalism tweets for Apr 10-16, per our NodeXL mapping: Brittany’s posh hotels (@dataspotTLG); Flourish #dataviz tool (@FastCoDesign); US health insurance (@NPR); hexagonal Europe (@MusMekh); visual vocabulary (@ftdata); data internships (@ONS); China’s rising water (@kimmelman); & more.
Here are the top data journalism tweets for Mar 27- Apr 2, per our NodeXL mapping: interactive graphics (@driven_by_data); ridiculous news (@twisteddoodles); Malofiej Infographics Awards (@malofiej); Germany’s radio masts (@stimmeonline); Republicans voting with Trump (@FiveThirtyEight); & more.
The boom of internet technology and social media networks have allowed journalists to access information which had previously been out of reach. Apps, sites and devices let ordinary people in extraordinary circumstances become reporters. However, internet research expert Paul Myers cautions that investigative journalists need to be incredibly sensitive when running stories and never expose innocent people to attack and ridicule.
In an extract from his book Finding Stories with Spreadsheets Paul Bradshaw explains how to use basic cleaning functions in spreadsheets to make it easier to combine data, including a case study where the same functions were used to speed up a research process for a story.
