Structured-journalism at Nerve centregarage

Table of Contents

• Overview of Structure Journalism
• How structured journalism helps journalist?
• Developer community at Nerve centre garage
  • Nerve centre garage
  • About this Repository
• Related Repositories of Developers Community
• For Contributors
• Contact

Overview of Structure Journalism

In recent years, the internet is overloaded with tons and tons of information and news articles. So, a reader can get news on-demand basis. Readers are interested to get enough information with short and crisp stories instead of large and big chunks of information. This became a major constraint for a journalist to produce short stories to grab the reader's attention without affecting the fact. Here the Structure journalism comes into the picture, journalist only requires a background story to create a new story but not the readers. A journalist can hide the background story for the readers by default and can provide only the current facts/information. This provides enough information to the readers in a go. If a reader is interested in the background story, he/she can grasp more information by browsing on that topic. To know more about structure journalism click here

How structured journalism helps journalist?

In structured journalism, stories are broken into numerous smaller data that can provide information/facts independently. Those smaller pieces of data can be stored, and re-used by any other journalists to create new stories to provide enough information to the readers on the current trends. Learn more about structure journalism at DXC nerve centre garage click here

Developer community at Nerve centre garage

Nerve centre garage

In the nerve center garage, a group of technologist gathered together with BBC News Lab to create AI-supported news articles to publish over the internet across various genres with a variety of background stories.

About this Repository

This is one of the open-source repositories to support journalists to be more productive in publishing news articles. A group of developers involved in assisting journalist, by creating and personalizing news snippets to provide enough information as well as to grab the reader's attention.

Related Repositories of Developers Community

Here some of the supporting project repositories of structure journalism listed below with a brief overview,

Content Template Team:

Group of members focusing on creating responsive and efficient templates to present the content(stories). The content template team consumes the news articles crafted by the journalism automation team. To know more about Content template click here

Article Production Team:

The team focusing on AI to support journalists in aggregating the final stories and to find any tedium contents in the final content prepared for publishing before the approval process. Click here to know more about article production team.

Automation Team:

Automation team mainly focuses on automating most of the steps carried out within the Journalism ecosystem to make the process simpler in assigning stories based on the journalist's availability, notifying the editors on completed stories to review, and further sending for approval to publish contents and other process involved.Click here to find Automation Team Repository

For Contributors

If you are interested in contributing to this project, please refer the contributors guidelines provided.

Please follow the documentation templates when you are reporting a bug or suggesting a feature.

• Please click here to view the bug reporting template.

• Please click here to view feature documentation template.

Contact

For any concerns/suggestions or security issues please reach out to Developers Community