Global Investigative Journalism Network (https://archive.gijn.org/tag/alberto-cairo/)
This week’s Top 10 Data Journalism stories curated by GIJN includes projects on Turkey’s toxic earthquake rubble, Eurovision song metrics, US migration from coastal cities, and world leaders’ heights.
In the latest webinar in the GIJN series on Investigating the Pandemic, an investigative reporter, a health data expert, and a world-renowned visualization professor shared insights on what newsrooms should consider when presenting COVID-19 information visually. An online audience of journalists from 46 countries heard that clear explanation and transparency were critical for all graphic formats.
When the COVID-19 pandemic first hit Brazil, a team of data journalists set out to illustrate what the death toll looked like by creating a data visualization that presented something beyond the numbers. The team considered various ways of displaying the story. Here’s a behind-the-scenes look at how they created At the Epicenter.
Cuando la pandemia de COVID-19 afectó por primera vez a Brasil, un equipo de periodistas de datos se propuso ilustrar el número de muertos mediante la creación de una visualización de datos que presentara algo tangible a sus lectores. El equipo consideró varias formas diferentes de mostrar la historia, y esta es una mirada entre bastidores del producto final.
Too often, inexperienced data users accept the data they receive at face value. Data scientist Heather Krause cautions that data should be treated similar to a human source. Just as you’d do a background check on a human source before publishing what they told you, you need to understand your data.
Para la serie de GIJN de herramientas favoritas de los periodistas, hablamos con Alberto Cairo, Jefe de cátedra en Periodismo visual y director de visualización, comunicación de datos y diseño de la información en el Instituto de Data Science y Computación en la Universidad de Miami en Florida.
If you want to study journalism, you have more choices today, at lower cost, and of higher quality than ever. Sometimes you will get that at a university and sometimes not. That represents a challenge for universities. In a lecture at a journalism conference in Puebla, Mexico, I described a personal experience taking a course in data visualization from one of the world leaders in the field, Alberto Cairo, author of “The Functional Art.” This kind of course represents a major challenge for universities, because their monopoly on expertise and certification is eroding. Just as occurred in the news business, competitors are emerging who are offering attractive alternatives.
It’s been a great year for data journalism and visualizations. GIJN’s Top 10 #ddj series captured snapshots of what’s popular on Twitter among the global data journalism community for 46 weeks in 2018. For this edition, we asked NodeXL to map 2018’s most popular #ddj tweets from January 1 to December 11 and the results are in. This year’s most popular tweets include @FinancialTimes’ ever-popular Visual Vocabulary chart, @Google’s Dataset Search, @hnrklndbrg’s eclectic visualizations, and @SZ’s analysis of Germany’s parliamentarians using laughter as a debate weapon.
Here are the hottest data journalism tweets for Jan 30-Feb 5, per our NodeXL mapping: Visual Trumpery (@albertocairo); dataviz colour functions (@FastCoDesign); How to Lie with Statistics (@PenguinBooks); mapping 13m climate change tweets (@CarbonBrief); OpenStreetMap (@datenjournalist); & more.
Here are the hottest data journalism tweets for Feb 6-12, per our NodeXL mapping: data tips (@pilhofer); Trump tweets (@DataRemixed); 165 years of Swiss Immigration (@duc_qn); Lisa Charlotte Rost’s data blog (@lisacrost); open corporate data (@ddjournalism); & more.