We all know that Google and other big players pick and choose what information people see, but we sometimes overlook it outside of the search and social media space. [Lauren Leek] decided to take a look at how Google Maps picks winners and losers in the restaurant scene in London.

Building a machine learning model to determine a new restaurant recommendation (as one does), [Leek] uncovered interesting, and perhaps concerning, elements of how Google Maps ranks restaurants. Broken down by relevance, proximity, and prominence, many new restaurants face the issue of not drawing traffic without reviews and vice-versa causing a vicious cycle. Relevance and proximity are fairly straightforward, but what goes into “prominence?”

[Leek] found that “it is not just what people think of a place – it is how often people interact with it, talk about it, and already recognise it.” This leads to chains and high foot traffic areas awash in reviews while more out-of-the-way places find it more difficult to draw traffic. Some of this is expected and would be happening even when word of mouth was the primary way to find out where to eat, but as with many things, the algorithm amplifies this, along with the undisclosed paid placement of restaurants in Maps results.

While still in its infancy, [Leek] built a public dashboard where people can sort restaurants in the city. The machine learning algorithm is designed to identify places that are hidden gems that punch above their Google Maps weight and may make you look like the trendy one (if you live in London).

Zooming out further, [Leek] found larger clusters that revealed restaurant “diversity, in other words, is not just about taste. It is about where families settled, which high streets remained affordable long enough for a second generation to open businesses, and which parts of the city experienced displacement before culinary ecosystems could mature.”

If you want to step outside the algorithm mayhem, how about a good old-fashioned Web Ring? We’ve also addressed what’s an AI versus an algorithm, and Cory Doctorow advised us on how to reverse course on the current wave of enshittification.

Public transportation can feel intimidating, especially when you're visiting a new city, exploring more efficient routes for your daily commute, or simply trying to reach your office on time before rush hour swallows you up. Thankfully, Google Maps has many public transit-focused features that can make your journey feel hassle-free and strip the stress from navigating unfamiliar routes and locations. Here are four features that you should check out now.

Apple has published the policies governing its upcoming Maps advertising business, revealing a strategy that differs from Google’s. The new rules prohibit home services businesses like plumbers, electricians, locksmiths, and roofers from advertising on Apple Maps, along with several other sensitive categories, suggesting Apple is taking a more curated approach to these ads.

Google Maps is an easy part of our routines, and over time, it builds a collection of our favorite places and travel plans. Saving locations is one of its most useful features, but this also means the app may reveal more about you than you realize when someone else uses your phone.

A looming exam finally convinced me to try NotebookLM's Mind Maps. Now, it's the first feature I use whenever I start a new notebook.

Some of the new features are powered by Google's Gemini AI assistant, which reflects the tech giant's broader push to integrate Gemini across its products while also better positioning Waze to compete with rival services such as Apple Maps.

Waze's Less Chatty mode finally lets you focus on music without constant voice interruptions. That's the headline update, as far as I'm concerned.

Russian state-aligned outlet Izvestia has confirmed that Russian military units operating on the front have received T-72B3A tanks equipped with an upgraded version of the Arena-M active protection system, and that crews are now undergoing additional training before the vehicles are sent to support assault groups attacking fortified Ukrainian positions. Arena-M belongs to a category […]