This week’s Pitchfork Selects playlist features Ice Spice, Leif, and more. Listen below and follow our playlists on Apple Music and Spotify. (Pitchfork earns a commission from purchases made through ...

In this video, model Taylor Hill reveals her go-to getting ready playlist, topped by her new favorite Sabrina Carpenter song, ...

Lü Xiaomin never received formal music training. But her worship songs have made her a household name in China’s churches.

This week’s Pitchfork Selects playlist features Niontay, Dawn Richard, Andrew Aged, Bladee, Vitesse X, Melody’s Echo Chamber, ...

YouTube Music has rolled out a new "Find in playlist" feature, allowing users to quickly locate specific songs within their playlists. This tool, currently in limited A/B testing on iPhones, appears ...

The Song Dynasty (960-1279) saw culture bloom like never before, and the development of fashion also reached new heights in creativity and diversity. In this episode of Into Chinese Art, Professor ...

VIENTIANE: The final round of the fourth "Laotians Sing Chinese Songs" competition took place in the Lao capital Vientiane on Friday (Oct 24), attracting nearly 1,000 attendees from both China and ...

To understand Chinese culture, it is necessary to go back to the very beginning of its civilisation. In this series, we look at the most influential dynasties in Chinese history and how each, with its ...

If you’ve put together a Halloween party playlist at any point over the last 45 years, you’ve almost certainly included Warren Zevon’s “Werewolves of London.” If you haven’t you are a literal monster.

It’s easy to understand how and why “Werewolves of London” became a Halloween party staple. The first is that is has “werewolves” in the title. It also includes lyrics that talk about how a “little ...

Dhruv Bhutani has been writing about consumer technology since 2008, offering deep insights into the Android smartphone landscape through features and opinion pieces. He joined Android Police in 2023, ...

Amazon Music has just launched new AI-powered weekly playlists based on the "preferences and mood" of listeners. This just means it scrapes what you've already been listening to and extrapolates ...