Español

La inteligencia artificial en el periodismo: con el poder vienen también las responsabilidades

By |

“El desarrollo más importante del último año ha sido la creciente adaptación y capacidad de percepción de la IA en las salas de noticias del mundo”, dijo Nicholas Diakopoulos, profesor asociado de estudios de comunicaciones y ciencia de la computación en Northwestern University, Estados Unidos. “El tipo de empleos en el campo del periodismo va a evolucionar. Algunos no parecerán trabajos de reportería tradicionales, y van a involucrar mayores habilidades con el uso de las tecnologías de la información”.

Data Journalism

Data Journalism Top 10: Beirut Blast, Predicting Crime, US Election Simulators, and COVID in Ukraine

By |

What was the magnitude of the Beirut port blast and how did it compare to other infamous explosions in history? Our NodeXL #ddj mapping from August 31 to September 6 finds Reuters illustrating just how powerful last month’s blast was in relation to the Chernobyl disaster and other explosions. The Tampa Bay Times highlighted how a county sheriff’s office is using an algorithm to supposedly predict and intercept the criminals of the future, while The New York Times used satellite maps to show how physical and political geographies interact across the United States. ESPN has been looking into the potential of people in college football crowds to become COVID-19 super-spreaders, and Slate analyzed the overuse of the word “murmur” in the popular Twilight novel series.

Data Journalism

Data Journalism Top 10: Unequal Pandemic Impact, COVID Contracts, Tainted Water, Data Ethics

By |

Which communities are most economically affected by the coronavirus pandemic? Our NodeXL #ddj mapping from May 25 to 31 finds the Toronto Star looking at the effects of Canada’s lockdown on different communities in the country, ProPublica sharing a tool that lets you explore United States federal government contracts related to the coronavirus, the Financial Times analyzing excess mortality in 19 countries, and the Knight Center for the Journalism in the Americas offering a free online course on ethics in data journalism.

News & Analysis

What Investigative Journalism Will Look Like in 2020

By |

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

What the Experts Expect for Data Journalism in 2019

By |

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.

Data Journalism

GIJN’s Data Journalism Top 10: Open Source, Artificial Intelligence, Interactive Oceans, Bar Chart Races, EU Polling

By |

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 25 to December 1 finds The New York Times profiling Bellingcat and its use of OSINT techniques; the International Consortium of Investigative Journalists and Stanford University collaborating to employ artificial intelligence to solve a journalistic problem; and the Science Communication Lab creating a beautiful interactive scientific poster to explore the world’s oceans.

Data Journalism

GIJN’s Data Journalism Top 10: Thanksgiving Travel, Visualization Art, Bad Charts, Dataharvest

By |

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 18 to 24 finds Google Trends mapping the busiest places and times for Thanksgiving, Al Jazeera profiling the work of data journalist Mona Chalabi and her hand-drawn visualizations, the Tow Center for Digital Journalism examining the use of machine learning and artificial intelligence in journalism, and the Investigative Reporting Workshop collating useful public datasets in one place.

algorithms

Six Case Studies in Computational Journalism

By |

How often is social media used as a source in news stories? Can a decision tree algorithm generate tens of thousands of 250-word stories? And what is belief-driven data journalism? These questions were at the heart of some of the promising projects featured at the 2019 Computation + Journalism Symposium.

Data Journalism

GIJN’s Data Journalism Top 10: Simon Says, AI’s Breakthrough Year and Global Migration’s Portal

By |

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from June 4 to 10 finds an awesome curated list of resources for visualizing music by @Willian_justen, a deep dive into unsolved murders across America by @washingtonpost and @CarbonBrief mapping of the past, present and future of global coal power plants.