How the monitored publications were assessed

Discourse valence across every scored item: what the sampled sources published and how independent models read it. It is not a measure of public opinion, not a measure of the state of the world, and article volume is not agreement.

28 items read as adverse

• Students fear AI is about to kill their future
  -63 Financial Times: Artificial Intelligence 2026-10-25 low agreement · ±55
• Parents Sue Google Over A.I. Safety Risks on School Chromebooks
  -61 The New York Times: Technology 3d ago low agreement · ±55
• We’re putting too much faith in AI’s ability to say no
  -58 MIT Technology Review: AI 2026-10-09 moderate agreement · ±30
• Americans, this is your chance to slap down the tech broligarchs
  -57 The Guardian: Artificial Intelligence 2026-10-20 low agreement · ±65
• The Male Abstraction Bias in Internet Culture and Large Language Models
  -55 arXiv cs.CY (Computers and Society) 3d ago low agreement · ±80
• The focus on AI safety disasters ignores everyday harms
  -53 MIT Technology Review: AI 13d ago high agreement · ±20
• Technohybridism: Recursive Semantic Normalization in AI-Mediated Societies
  -50 arXiv cs.CY (Computers and Society) 2d ago low agreement · ±75
• The hidden cost of flexible work in academia: women do more parenting
  -50 Nature 3d ago single model
• Language Non-Invariance in the Ideological Evaluation of Large Language Models
  -50 arXiv cs.CY (Computers and Society) 6d ago single model
• What is it like to work when your co-workers are AI agents?
  -50 The Guardian: Artificial Intelligence 10d ago single model
• We need to stop disinformation in UK political adverts. Here’s a chance to do so | Letter
  -50 The Guardian: Artificial Intelligence 2026-10-19 single model
• Is AI eroding PhD students’ critical thinking and analysis skills?
  -50 Nature 2026-10-15 single model
• Exhausted Parents Are Turning to A.I. Apps Despite the Risks
  -50 The New York Times: Technology 2026-10-15 single model
• Does the decline of book reading mark the end of rational thinking?
  -50 Nature 2026-10-12 single model
• Gender, Sexual Orientation, and the One-Year Refugee Bar: A Computational Study of Bill C-12 and Canadian Refugee Adjudication
  -48 arXiv cs.CY (Computers and Society) 2026-10-23 low agreement · ±62
• The GenAI Who Knew Too Little: Revisiting Transactive Memory Systems in Human GenAI Collaboration
  -47 arXiv cs.CY (Computers and Society) 2026-10-21 low agreement · ±100
• ChronoCulture: Evaluating Cultural Awareness Across Time in Large Language Models
  -46 arXiv cs.CY (Computers and Society) 2026-10-15 low agreement · ±165
• The agentic web is here
  -46 MIT Technology Review: AI 6d ago moderate agreement · ±45
• Prefigured forgetting. Memory, the right to be forgotten and artificial intelligence
  -45 arXiv cs.CY (Computers and Society) 2026-10-23 low agreement · ±90
• Winner of the Prix Goncourt literary prize admits to using AI
  -36 The Guardian: Artificial Intelligence 3d ago low agreement · ±90
• It’s time to block reckless AI IPOs and tax billionaires | Naomi Klein and Ilana Glazer
  -33 The Guardian: Artificial Intelligence 6d ago low agreement · ±50
• A misinformation playbook sharpens judgement without breeding cynicism
  -32 arXiv cs.CY (Computers and Society) 2026-10-19 low agreement · ±150
• Is a job guarantee the solution to mass AI unemployment?
  -27 The Guardian: Artificial Intelligence 2026-10-23 low agreement · ±70
• Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction
  -26 arXiv cs.AI 11d ago low agreement · ±150
• Conditional Values: The Contingent Foundations of Attitudes toward Artificial Intelligence
  -25 arXiv cs.CY (Computers and Society) 11d ago low agreement · ±100
• What does human inquiry even mean anymore?
  -23 Financial Times: Artificial Intelligence 12d ago low agreement · ±75
• Google Deepmind’s New Resident Philosopher Tackles AI Ethics
  -23 IEEE Spectrum: AI 2026-10-13 low agreement · ±105
• What Shaped Anthropic CEO Dario Amodei’s Thinking on A.I.
  -20 The New York Times: Technology 3d ago low agreement · ±100

Across the whole window

The two tables below describe every item in the last 30 days under human-agency. They are deliberately not narrowed by the reading filter (currently adverse), because a mean taken only over items already selected for their score would just restate the filter.

By topic

By source

A source's mean says how the items it published were read. It is not a rating of the source.