Real-time news is news that occurs as an event unfolds or immediately afterward, and can often be distributed at a speed that outpaces traditional media channels. Real-time news can be a boon for journalists and their audiences, but it also poses new challenges in verifying content and maintaining ethical standards.
The rise of real-time news has transformed the way we experience events and gather information. Thanks to social media, anyone can now share a video of a car chase or other newsworthy moment with the click of a button. This democratization of news gathering allows a wider range of people to become journalists, but it can also lead to false or misleading reports.
With the increasing ubiquity of real-time news, it’s important to provide context and diverse perspectives on stories in your coverage. Google’s news experiences, including Top Stories in Search and News, Headlines & search on our apps, and news on the Assistant, empower people to stay informed about the world around them by offering a diverse set of sources from across the globe.
Our technology makes it easier to organize millions of news stories from dozens of languages and make them discoverable for everyone at any time. We do this by analyzing hundreds of different factors that influence how relevant a story is to people in a particular location, language, and topic setting. Then we use machine learning to identify the most important stories that are happening now—and over time.
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