Applied & Human-Centered · Computer Science & AI
Social & Information Networks
The newest papers in Social & Information Networks that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
172 papers, from 4 September 2026 to 5 November 2026: 172 arXiv preprints.
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Validating LLM-generated political networks with survey-reported partisan exposure
Large language models (LLMs) are increasingly used to simulate human behavior in social science research, including decisions, interactions, and social relationships."You" Is Not Toxic: How LLM Labelers Rewrite the Web's Conversation Laws
What the Web community believes about toxic conversations, such as that toxicity rises in longer and deeper threads, was measured mostly with Google's Perspective API, which is shutting down; large…Graphlet-based Decentralized Finance Transaction Method Classification
Decentralized Finance (DeFi) transactions involve complex interactions among accounts, smart contracts, and tokens.Bridging the Language Gap in Scholarly Data II: Enhancing Gender Inference for Chinese Names
Perceived gender inference from names is important for inclusive scientometrics research, yet existing methods perform poorly on non-Western scholars.What Remains Without Test Labels? Re-evaluating a Graph-Level Anomaly Detection Benchmark
Graph-level anomaly detectors are trained only on normal graphs, yet benchmarks may use test labels for model selection.Location, Location, Generation: Where You Ask Matters for Generative Engine Optimization
Generative search engines answer local and commercial questions with a written answer and a few cited sources.Modeling Group Socialization in Online Communities
Newcomers to online communities must learn a group's norms to participate successfully.Source Attribution and Audience Uptake in Digital Witnessing: Evidence from a Chinese Diaspora Account on X
Digital-witnessing research explains how citizen testimony becomes publicly visible.Content associations with answer selection and engagement in supply chain community question answering
Community question-answering platforms are important ecosystems for knowledge sharing, yet research on what makes an answer best or a question engaging has often focused on either individual lexical…High prevalence of antagonizing rhetoric in trending topics on Twitter/X
Disagreement between political opponents is a central element of democracy.Political Narratives in the 2024 Moldovan Presidential Election: Stance, Amplification, and Influence
Social media platforms play a central role in shaping political discourse during elections, particularly in geopolitically contested regions.Whose Polarization Is It? Auditing Fairness in Network Polarization Measures
A polarization score is supposed to describe a community, not its surroundings.Risk and Refusal: Mechanisms of LLM Responses to Suicidal Ideation
Refusal is a common safety mechanism in large language models (LLMs), yet in contexts of suicidal ideation (SI), refusing to engage can itself constitute a safety failure.A misinformation playbook sharpens judgement without breeding cynicism
Misinformation harms public health and democracy, and generative artificial intelligence now writes falsehoods as persuasive as people's.Structural Dependence, Imitation or Herding? A Multi-Agent Simulation of Global Intermedia Agenda Setting
News outlets in poorer countries cover the world much as the leading outlets of rich countries do.What Makes a Social Agent's Interactions Effective? Learning from Verifiable Outcomes in Paired Worlds
Effective social interaction requires more than fluent responses: agents must reach plans that fit the participants' needs and circumstances.PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios
Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments.A null model to detect coordinated online behavior integrating evidence from multiple indicators
Coordinated online accounts can amplify messages and manipulate attention, but detecting such behavior is challenging due to confounding factors like account activity and item popularity.Institutionalizing Trust in Data Exchange: Trust-Anchor Model of the Data Credit Guarantee Organization and Its Simulation-Based Comparison
Data trading markets that span industries and regions are expanding, but the implicit trust that supports data use within an organization does not carry over to cross-domain exchange.Breakdown of Conversational Involvement: A Joint Multi-Modal Analysis of Conversation Floors and F-formation Detection with Multiple Features
Interactions happen universally and spontaneously in daily lives.