Digital Rights

Music Discovery: AI-Driven Playlists and Rights Management Music fans discover new sounds faster than ever thanks to AI-powered playlists. At the same time, rights holders face more data and licensing demands as streaming grows. This article explores how AI reshapes music discovery and how it helps manage licenses, royalties, and metadata in a fair and transparent way. By blending technology with clear rules, platforms can offer personalized listening while protecting artists’ rights. ...

Music streaming ecosystems and rights Music streaming has reshaped listening, but the rights behind each play are shared across a few key groups. In a typical ecosystem, rights holders include record labels (master rights), music publishers (publishing rights), distributors, streaming platforms, and collecting societies. These players negotiate licenses, track usage, and distribute payments to artists and creators. When data is accurate, money flows more quickly and fairly. Two main streams drive payments: ...

Understanding Rights, QoS, and Discovery in Music Streaming Music streaming sits at the intersection of art and technology. Three pieces shape the listening experience: rights from labels and artists, the quality of service that keeps playback smooth, and discovery tools that help listeners find songs they will enjoy. When these parts work well together, listening feels effortless and fair to creators. Rights and licensing determine what songs are offered and how artists are paid. Platforms obtain licenses from rights holders, pay royalties through collecting societies, and follow regional rules. Different rights, like mechanical rights and public performance, play distinct roles in how a catalog can be used. For listeners, this means a catalog that grows over time and a system that supports fair compensation. ...

Music Streaming: Personalization and Rights Management Music streaming reshapes how we find and enjoy songs,while rights management protects creators. Personalization helps listeners discover tunes they might love, and it relies on data. Rights management ensures fair payment and proper licensing as streams add up. The two ideas share the same system: a complex mix of technology, policy, and transparency. How personalization works Data signals: listening history, skips, saves, likes, searches, playlist activity Algorithms: collaborative filtering, content-based matching, hybrid models Context: device, location, time of day, even mood indicators Feedback: explicit preferences and opt-out options Risks: filter bubbles, privacy concerns, data security Rights management in streaming ...