The A-Z of AI

Journalism

Journalists are using AI to transform the news industry.

For newsrooms, AI systems that can process volumes of data in real time are useful tools.

A journalist is reviewing information scattered between article layouts, research papers and notebooks.

Journalists around the world are exploring how AI can help monitor news sources, organize information, find unexpected links and distribute stories.

AI systems are generally being used to support newsrooms in three areas:

During the research process: AI is being used to automate the transcription of interviews, monitor events as they unfold, translate foreign news sources, gather relevant posts from social media and cross-reference archived stories, reports and records to find additional insights.

A journalist sits at his desk crafting an article. Multiple windows and resources are open on his computer screen.

During the writing process: AI is helping with fact-checking, suggesting grammar and sentence structure improvements, and tailoring articles to a variety of different audiences by monitoring things like local crime, education and housing statistics.
During distribution: AI is being applied to automatically analyzing and tagging news features with subject matter labels so that readers who have a history of enjoying similar topics can find related content.

Ultimately, AI systems are helping to help speed up fact-finding and automate daily newsroom tasks.

In a world where we generate huge amounts of information, but resources are increasingly tight, AI can support journalists by reducing the amount of background work they have to do so that they can focus on the thing they do best — telling the world’s stories.