Do you know your'sweat score'? One of the biggest controversies of the 2026 World Cup so far has been the hydration breaks, which - while not entirely new - are for the first time occurring twice during every match in the tournament. The breaks aren't really about hydration, some spectators say. They're just an opportunity for certain broadcasters to show more ads, they break up the natural flow of games, and are unnecessary in air conditioned stadiums. Whether or not you agree with these complaints, there's no doubt that hydration itself is an increasingly prominent point of discussion worldwide.

Remember that video US president Donald Trump tweeted in which he wrestled someone to the ground and started punching them? It was genuine footage of Trump from a popular wrestling show but he had the image doctored to replace the victim's head with the CNN logo and added the hashtag #FraudNewsCNN, just in case we didn't get the memo that he really dislikes the news network. But are these news networks as biased as he thinks? Do Fox News journalists say mostly nice things while those at CNN are busy portraying him in a negative light? Artificial intelligence (AI) in the form of sentiment analysis and stance detection can tell us what is really happening.

Text analysis startup Aylien, which uses deep learning and NLP algorithms to parse text and extract intel from documents for its customers, has launched a new tool specifically focused on analyzing written news content. "The idea for the News API is to give access to the news content that is out there enriched and in real-time to developers and data scientists," says co-founder Parsa Ghaffari. The Dublin-based startup says it's utilizing core text analysis tech powering its existing text API product, which launched back in February 2014 -- but this time it's focusing exclusively on news content and also doing a little more of the analytical heavy lifting for its customers. "We decided to simplify the use case a little bit by collecting and analyzing the news documents on our end, rather than giving them the tools to do that themselves. So this was born out of that," says Ghaffari.