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Climate Change

162 posts

News & Analysis

What Investigative Journalism Will Look Like in 2020

GIJN asked investigative journalists around the world to look ahead at what’s in store for 2020. Here are the trends, key forces, and challenges they expect will affect investigative and data journalism in the coming year, as well as the new skills and approaches we should be thinking about.

Data Journalism

GIJN’s Data Journalism Top 10 for 2019: People Are The Story, Pirates vs. Princesses, Open Source Journalism, How Charts Lie, UN Votes

Throughout this year, we’ve brought you weekly “snapshots” of the Twitter conversation surrounding data journalism. But this week, we look at what the global data journalism community tweeted about the most during all of 2019. Below you’ll find links to stories from Brazil, Germany, Switzerland, the UK, the US, and elsewhere.

Data Journalism

GIJN’s Data Journalism Top 10: Burning Amazon, Mass Shootings, Hungarian Kings

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 19 to 25 finds Bloomberg mapping the alarming degradation of the Amazon rainforest, Alyssa Fowers discussing variations in visualizing mass shootings and their corresponding impact on readers, Data Carpentry sharing tips for organizing data in spreadsheets, and Atlatszo visualizing the succession of Hungarian kings.

Data Journalism

GIJN’s Data Journalism Top 10: Visualizing Climate Change, Numbers from Phrases, Democratic Donors, Moscow Money

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 29 to August 4 finds a number of articles related to the climate crisis, including the BBC’s piece on tree planting and its interactive tool on temperatures across the world, as well as Alberto Cairo’s blog post on misleading charts created by climate deniers. We also found useful tips and tools: a data GIF maker by Google News Initiative, Datajournalism.com’s strategies for teaching data journalism, and Paul Bradshaw’s tutorial on how to extract numeric data from phrases.

Data Journalism

GIJN’s Data Journalism Top 10: Hong Kong Protests, Migration Waves, Democratizing Dataviz

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 22 to 28 finds The New York Times analyzing the catalyst behind Hong Kong’s recent protests, National Geographic visualizing human migration in the past 50 years, Ellery Studio’s fun and informative renewable energy coloring book, and The Economist’s findings that Hillary Clinton could have won the 2016 US election if all Americans had turned up to vote.

Resource

Investigating Climate Change: A New GIJN Guide

What’s the investigative journalism twist on covering the climate crisis? Much of the biggest news understandably comes from scientists, but there’s lots of potential for imaginative reporting, as discussed in a new GIJN resource guide on climate.

Case Studies

How The Wall Street Journal Reported on “The Price of Climate”

The Wall Street Journal’s graphic-heavy series “The Price of Climate” took an ambitious look at how financial and economic markers reflect present and future thinking about the climate. One of the editors that worked on it says it was a response to the fact “that a lot of climate change stories feel and look the same.” Here’s how they did it.

Data Journalism

GIJN’s Data Journalism Top 10: Avengers on the Move, Nonprofit Tax Filings, Visualizing Uncertainty

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from June 3 to 9 finds @sto3psl mapping places the Avengers visited in Europe, @fedfragapane visualizing which elements in the periodic table are in danger of running out, @srfdata highlighting the top worries of the Swiss and @propublica doing researchers and journalists a huge public service by making 3 million US nonprofit records text-searchable.

Data Journalism

GIJN’s Data Journalism Top 10: Copycat Laws, Melting Ice, Rwanda’s Genocide Trials, Data Do’s and Don’ts

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 1 to 7 finds @JuliaAngwin sharing do’s and don’ts of data journalism projects at @journalismfest, @elconfidencial highlighting the negative effects on Spain’s economy if women stopped working for a day, @azcentral and @USATODAY revealing just how many bills in the United States are copied from model legislations, and @justiceinfonet visualizing data on trials for the Rwandan genocide.