Best Practices forocial Media Capture
Posted: Thu Jan 30, 2025 4:40 am
This department is made up of a multidisciplinary team whose role is to help and support journalists. The R&D department is part of the strategic committee and works cross-functionally with the other departments. In addition to this support mission, the R&D team brings in academics, researchers and recent graduates to the Journal. The department's projects include information collection tools, surveys based on data processing tools and automation software. The latest: a machine-learning tool that analyzes the Journal's archives and allows journalists to gain editorial insight into any topic, software that automatically writes texts based on American university ranking data, and an investigation into Facebook and its use of personal data .
Composed of data scientists, machine-learning gambling data myanmar engineers, project managers and specialized editors, the R&D department is responsible for helping journalists collect and analyze data using new tools. Its main missions are: Develop AI tools to source information and identify topics using these new tools. Helping journalists create new formats. Identify technologies that will impact journalism. “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 led to larger initiatives, such as the creation of the WSJ Media 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.
Composed of data scientists, machine-learning gambling data myanmar engineers, project managers and specialized editors, the R&D department is responsible for helping journalists collect and analyze data using new tools. Its main missions are: Develop AI tools to source information and identify topics using these new tools. Helping journalists create new formats. Identify technologies that will impact journalism. “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 led to larger initiatives, such as the creation of the WSJ Media 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.