Can you give some great examples of Machine Learning in journalism?

if you think about the biggest challenge in reporting and journalism, it is what news to track.

Even though a newspaper might have great writers, if they arent able to report on the most trending and popular news the paper will not sell.

This is where machine learning comes in. Once you train a machine to spot most trending and popular news the algorithm invariably does a better job than humans because of scale. So now the burden of tracking the right news shifts to the machine and journalists can focus on the content.

Since writing is a creative jobs machines cant do it. But they can spot the most trending news based on historical data and emerging trends.

The other big area is to verify the authenticity of the news . This is a problem that machine learning can solve better than humans because it checks at several parameters like news source, time of day, content type and several other things to determine authenticity and it can detect fraudulent news quickly, saving a lot of time.

I hope you find this information helpful, see you on the next topic.