Data

Tuned Global, the technology platform used by businesses to power licensed music and audio services, has launched what it calls a Service Manipulation Detection (SMD) system, designed to help streaming platforms and rightsholders identify and act on that activity. The offering, announced on Tuesday (April 21), monitors for manipulation tactics including bot usage, click farms, scripted listening and coordinated repeat plays – all of which can distort play counts, chart positions and royalty allocations.

Source: Tuned Global launches streaming manipulation detection tool 

The report found that Twitter drove little traffic to most news sites, generating only around 1.5% of most publishers’ traffic. But, the authors wrote, “Twitter excels at both conversational and breaking news…Though Twitter may not be a huge overall source of traffic to news websites relative to Facebook and Google, it serves a unique place in the link economy. News really does ‘start’ on Twitter.”

Source: Do links hurt news publishers on Twitter? Our analysis suggests yes

A recent analysis of AI Overviews found that they were accurate approximately nine out of 10 times. But with Google processing more than five trillion searches a year, this means that it provides tens of millions of erroneous answers every hour (or hundreds of thousands of inaccuracies every minute), according to an analysis done by an A.I. start-up called Oumi.

Source: How Accurate Are Google’s A.I. Overviews?

These gig AI trainers – who upload everything from scenes around them to photos, videos and audio of themselves – are at the frontlines of a new global data gold rush. As Silicon Valley’s hunger for high-quality, human-grade data outpaces what can be scraped from the open internet, a thriving industry of data marketplaces has emerged to bridge the gap. From Cape Town to Chicago, thousands of people are now micro-licensing their biometric identities and intimate data to train the next generation of AI.

Source: Thousands of people are selling their identities to train AI – but at what cost?

Now available to Premium subscribers on iOS and Android, the feature provides an interactive experience that lets users trace other components of a song beyond the singer, songwriter, or musician. With SongDNA, listeners could explore other connections, like who may have covered that song, plus other information like samples, interpolations, or what other projects the song’s collaborators have also been involved in.

Source: Spotify’s new SongDNA feature maps how your favorite songs are connected