Security & Cryptography · Computer Science & AI
Computers & Society
The newest papers in Computers & Society that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
Get the few papers worth your time in Computers & Society every morning.
Follow Computers & Society and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 20
Risk Ceilings and Development Deadlines: Pacing AI under Uncertain Safety Productivity
Can a regulator promise both a risk ceiling and a development deadline when safety productivity is unknown?Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?
Knowledge tracing (KT) models need many logged learners, so a new course or platform starts without a usable model.On-Chain Archaeology of Bitcoin Oracles: Evidence of Use under Limited Observability
Before Ethereum made the "oracle problem" a household term, Bitcoin already had oracles serving as feeds, key-release services, federated signers, and arbiters that carried real value on the main…Large Language Model Turnover Undermines Screening for Artificial Intelligence-Assisted Scientific Writing
Journals and conferences have begun to screen submitted manuscripts for text written using large language models (LLMs).Political polarization and mental wellbeing: asymmetric evidence for bidirectionality
A growing body of evidence suggests that political polarization and mental health and wellbeing influence each other.Auditing AI-Washing in German Startups: A Mixed-Methods Study of Marketing Claims and Perceptions
AI-washing is the use of 'AI' as a marketing term where products' claims are exaggerated, likely to capture the hype from investors and consumers.Automated Disinformation and Malicious AI Swarms: Risks for Democracy and Development in Africa
Generative artificial intelligence is reshaping how information is produced, accessed, and circulated, while enabling disinformation campaigns of increasing scale and sophistication.The learner who does not learn: when optimizing a pedagogical metric degrades LLM tutoring
It is assumed that a natural way to improve the pedagogical quality of large language model tutors is to define a metric of instructional performance and fine-tune the model against it.Verdict Without the Rule: Diagnosing and Auditing Regulatory Rule Sensitivity in LLM Compliance Systems
Large language model compliance systems are deployed on the assumption that a verdict depends on the regulatory rule it is given.Cited but Not Consulted: A Counterfactual Audit of Legal Chain-of-Thought Faithfulness
Large language models increasingly justify legal decisions by naming the statute or precedent behind a verdict, treated as evidence that the decision follows from it.OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectories via Streaming Structure-Aware Optimal Transport
Agents are deployed in applications from trip planners and stock trading to IT incident triage.Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities
Ethnic and cultural identities rarely align with political borders, a tension made sharper by migration and long-standing cross-border ties.Activating the Annotator: Operationalising Lived Experience in Data Annotation
Perspectivist NLP has established that annotator positionality shapes labels for subjective tasks, but the field still lacks methods for operationalising it.DistressBench: Evaluating Multi-Dimensional Crisis Support in Large Language Models
Language models have been adopted faster than evaluation practices that reliably assess their risks, and a growing share of use is affective rather than informational.What Counts as Evidence? Epistemic Cue Utilization in Large Language Models
Which information actually shapes a language model's judgment when sources disagree?Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn
Technologies like large language models make it easier to convert cultural material into analyzable variables, while LLM-driven agentic systems extend machine assistance to other parts of the…AI-Assisted Submissions in Online Research Are Rare and Highly Concentrated but Routinely Approved
Online research platforms underpin much of what science claims about people, on the assumption that a human produced each response.The AI Evaluation Ecosystem
AI evaluation shapes the decisions of model providers, users, funders, and regulators.The Confidence Game: Strategic Miscalibration in Human-AI Delegation
Calibrated uncertainty quantification is essential to ensuring AI agents are trustworthy and reliable.Stability and Diversity of Networked Self-Consuming Generative Ecosystems
The widespread deployment of generative AI has made it increasingly difficult to distinguish synthetic content from real data.