As part of their participation in the Collab Challenges 2021 initiative, La Nación (Argentina), Data Crítica (Mexico), AzMina (Brazil), CLIP (Costa Rica) and Ojo Público (Peru) developed projects that seek to put automated analysis of documents, images and language at the service of investigative journalism.
On it’s ninth anniversary, the Knight Center for Journalism in the Americas’ Journalism Courses program of massive online training for journalists is celebrating a new milestone: It has reached more than 260,000 students from more than 200 countries and territories.
Although the potential of artificial intelligence is vast and the region is hungry for knowledge on the matter, its implementation is still scarce in Latin American media, report says
Thirty winners in 10 Latin American countries were selected as part of the Google News Initiative Innovation Challenges for 2019 and together will receive about US $4.4 million to develop digital projects.
When we are talking about artificial intelligence in journalism, we need to talk about the human-centered aspect, said Nick Diakopoulos, assistant professor in Communication Studies and Computer Science at Northwestern University on April 13 at the 20th annual International Symposium on Online Journalism (ISOJ).
Newsrooms around the world are using automation to produce earnings reports, identify fact-checkable statements, and provide updates on court cases, among other functions. It’s now imperative that journalists understand the power and pitfalls of these technologies.
Artificial intelligence, machine learning, deep learning. These are some terms that are in high demand in many professional fields, but which are not yet familiar to many in news media.
The term “artificial intelligence” has been around since 1956, and yet many journalists are unfamiliar with its history and impact on the world today, even as its influence grows everywhere, including on how we gather and report the news.
Mass communication was one of the areas most affected by the expansion of technology. Technological changes have also put the traditional media business model in check. In this context, technologies such as algorithms, artificial intelligence and Natural Language Generation (NLG) have emerged, which are increasingly dominant in media companies that use them for a variety of applications from news production to content distribution.
An algorithm against corruption developed by the Peruvian investigative journalism site Ojo Público identified that 40 percent of public contracts in Peru, between 2015 and 2018, have a risk of corruption.