Global Investigative Journalism Network (https://gijn.org/tag/statistics/)
With just a spreadsheet, a journalist can let the software do the counting and calculating, allowing them to concentrate on the purpose and result of their inquiry. It also opens the door to understanding more advanced statistics, and the use or misuse of statistics by governments and businesses.
With the global spread of data journalism, the advent of artificial intelligence and the increasing use of big data moving alongside a rapid rise of disinformation, GIJN asked data journalism experts around the world what they anticipate for 2019. Here are their thoughts on the major trends, ideas and technologies that will affect how we do our jobs.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from June 11 to 17 finds three data stories about the World Cup, from @BBCSport, @FT and @TspLeute, @guardian looked at at how urban cycling can change the world and @Bastamag explores 40 years of deaths from police interventions in France.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 21 to 27 finds @nigelblue’s wildly humorous infographic book about crazy competitions across the globe, @Data_Match breaks down the list of gifts given to the president of the United States by foreign leaders and @FinancialTimes looks into the pressures Antarctica faces.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 7 to 13 finds @adamrpearce brilliantly illustrating the problem and causes of backed up trains along the New York subway, @Textyorgua_Eng highlights the destruction of Ukraine’s landscape due to illegal amber mining and @duc_qn analyzes which university gives you the best bang for your buck.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 12 to 18 finds disturbing news from @NASAEarth about low Arctic sea ice and temperature anomalies in the North Pole, @seeingtheory ‘s redesigned educational website on probability and statistics and top ten ways to clean your data by @Microsoft.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 19 to 25 finds economist @SethS_D analyzing Spotify data to find the correlation between our birth year and our music influences, @infowetrust illustrates three centuries of iconic infographics in a beautiful 17th century-styled dataviz and @EdjNet’s Stats Monitor gives you #ddj news leads on European data.
Full guide here. العربية
Data on human trafficking, forced labor and irreegular migration is everywhere and nowhere at the same time. Incidents are reported regularly, but this information tends to be scattered across media outlets, government reports and the publications of civil society organizations. For journalists willing to put in the hours, rich data can be mined from archived local media reports, which are available online. Both media in origin and destination countries regularly report on the numbers of undocumented workers deported from a country, or incidents involving trafficked workers.
Over 11 million migrant workers work in the six Middle Eastern countries — Saudi Arabia, Kuwait, the United Arab Emirates, Qatar, Bahrain and Oman. Journalists attempting to investigate human trafficking and forced labor in the region have faced many challenges. GIJN, in collaboration with human rights organizations, is launching this first bilingual guide to teach journalists best practices, tools and steps in reporting on human trafficking and forced labor in the Gulf region.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 8 to 14 finds free font-for-numbers by @InVisionApp, a William Playfair biography book review for @WSJBookReviews and @PublicDataLab’s just-released full version of its fake news field guide.
