Journalists from Brazil, Colombia and Venezuela are using innovative methodologies, strategies and tech tools to address the environmental and social conflicts that threaten the Amazon, without putting themselves at risk by going deep into the rainforest.
Argentine-based journalists were selected to participate in a program on how to cover the impact of algorithms on society, while news outlets from Argentina, Brazil, Mexico and Paraguay are participating in a collaborative challenge to develop artificial intelligence tools to enhance the work of journalists.
Members of La Nación, Data Crítica, CLIP and Bloomberg News developed a workflow that seeks to help journalists with limited technological knowledge to identify visual indicators in satellite images and develop journalistic investigations based on it.
A team of professionals from La Nación, Ojo Público, CLIP, and MuckRock developed a prototype tool that seeks to facilitate the use of machine learning and natural language processing for the analysis and classification of documents for journalists without extensive programming knowledge.
The Political Misogynistic Discourse Monitor, developed by journalists from AzMina, Data Crítica, La Nación, and CLIP, detects hate speech against women on the internet in Spanish and Portuguese through a Natural Language Processing model.
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.