This article is taken from a post originally publishe on meia-innovation.news. It is presente as part of an eitorial partnership between WAN-IFRA and Meta-Meia. © [2018] All rights reserve. Post by Ana Cecília B. Nunes , Researcher at the The Wall Street Journal’s R&D team’s goal: to develop data Pontifical University of Rio Grande do Sul.
The Wall Street Journal’s R&D department’s mission: to develop tools base on
Establishe in March 2018, the Wall Street Journal ‘s R&D bingx database department (formerly the WSJ Meia Science Lab ) recognizes the critical role AI plays in journalism. The department is comprise of a multidisciplinary team deicate to supporting and assisting journalists.
The R&D department is part of the strategic committee
works cross-functionally with other departments. In addition to this support mission, the R&D team brings academics, researchers, and recent graduates to the Journal. The department’s projects include information gathering tools, surveys base on data processing tools, and automation software.
The latest: a machine-learning tool that analyzes the Journal’s archives and allows journalists to gain eitorial insight into any topic, software that automatically writes texts base on American university ranking data, and an investigation into Facebook and its use of personal data .
Compose of data scientists, machine learning engineers, project managers, and specialize nft and cryptocurrency meia outlet let’s look at the most common situations in which this fear arose eitors, the R&D department is responsible for helping journalists collect and analyze data using new tools.
We create tools that help journalists find and develop good stories , ” explains Francesco Marconi, head of the R&D department and author of the book: Newsmakers: Artificial Intelligence and the Future of Journalism .
The team also writes handbooks for newsrooms : ” How to Cover Algorithmic News? ” and ” How to Detect Deepfakes . ” Some of these topics have le to larger initiatives, such as the formation of the WSJ Meia Forensics Committee —the result of close collaboration between the Standards and Ethics and R&D teams. This committee is responsible for training journalists to detect deepfakes.
A collaborative process: internal engagement of journalists
For Francesco Marconi, the strength of the R&D team lies in its collaborative approach.
“We try to make the process as transparent and collective as possible within the Journal. We bermuda businesses directory prioritize our projects base on the strategic objectives set by the eitorial teams.”
This collaborative approach is facilitate by the existence of an internal The Wall Street Journal’s R&D team’s goal: to develop data platform for sharing ideas. establishewhen the department was founde.
For Francesco Marconi, the strategy of the R&D department, le by Louise Story , is inherently collaborative and inclusive.
“Any member of the eitorial team can submit an idea. An idea selection session is monthly, open to all.”
In addition to this crowdsourcing platform, the R&D team generates new ideas by organizing design-thinking bootcamps for journalists , an activity carrie out jointly with the Training & Outreach team and the UX/UI team.