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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Coherence-Driven Belief Formation and Population Dynamics of Contagion in LLM Agents
Models of social contagion usually assume how individuals adopt beliefs and derive population behavior from it.Gated Graph Neural Networks for Learning Hidden Independent Cascade Dynamics
Information and infectious diseases spread through social networks, but the spreading probabilities driving them are hard to estimate without per-node activation times.Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction
Synthesizing realistic graphs at scale is vital when the graphs of interest are large and real-world samples are limited or access-sensitive.Degree-Corrected Joint Matrix Factorization for Multilayer Community Detection
Multilayer networks allow the modeling of interactions between the same entities across different contexts, such as temporal observations, varying settings, or interactions of different types.Out-of-Network Attention Dynamics on Bluesky
Personalized social media commonly relies on explicit follow graphs to shape what content users encounter; yet how much attention crosses ties they have not formed remains largely undocumented at…Community-Driven API and AI Writer Design for Openly Scaling Community Notes
Community Notes is a crowd-sourced approach for adding context to posts on X. Contributors propose and rate notes, forming the inputs to an open-source, open-data algorithm that determines which…Memetic Trojans: Social Contagions as Carriers of Adversarial Payloads in Agent Networks
Autonomous large language model (LLM) agents increasingly interact in network environments where adversarial content can propagate between agents.From Scroll to Sale: Exploring the Impact of Interaction Type and Device Price on TikTok Advertisements
Companies and brands increasingly use dynamic pricing, including targeting social media ads to users based on their income.Paying for Too Many Tokens? Valid and Cost-Efficient Multimodal LLM Annotation with Simple Heuristics
Vision-Language Models (VLMs) enable video annotation at scale, but costs accumulate quickly: processing a typical 60-second short-form video at one frame per second requires millions of tokens.Message Passing Does More with Less for In-Context Learning on Graphs
Achieving strong performance with graph neural networks (GNNs) typically requires training and hyperparameter tuning for each dataset, incurring repeated costs and effort.Look What You Made Us Cluster: Hate Narrative Extraction from Reddit Discourse
Narrative extraction allows us to identify online hate narratives, supporting the construction of rigorous detection systems.How People Use ChatGPT: Conversation-Level Evidence from India, Nigeria, Brazil, and Pakistan
Public understanding of how people use LLM-based conversational AI assistants comes primarily from aggregate platform reports by OpenAI and Anthropic, which apply fixed taxonomies and inferred…Measuring and Mitigating Identity-Cue Preference Drift in LLM-based Recommender Systems
In large language model-based recommender systems, identity cues embedded in prompts can steer recommendations toward group-level patterns even when the underlying behavioral evidence remains…Conspiracy and Environment Communities on Reddit Sort Along Different Demographic Axes
The impact of online platforms in political mobilization is widely documented, yet it remains unclear how it affects different demographic groups.Zero Knowledge Proofs in Quantum Networks
Zero-knowledge proofs (ZKPs) enable the verification of a statement without revealing any information beyond its validity and constitute a fundamental primitive in cryptography and information theory.Reclaiming the social in social media
Concerns about polarization, antisocial behavior, and mental health have broadly led to two responses to social media: adapting platforms through moderation and prosocial design, and restricting…Group dynamics of engagement with AI topics on Bluesky
Social media increasingly shapes everyday life, serving as both a central venue for discussion of major events and a space where online collective behavior can spill over into real-world activity…Illusory Truth or Mere Exposure? Model-Dependent Repetition Effects in LLM-Based Social Media Simulations
Generative agent-based models (GABMs) are increasingly used to simulate social media dynamics, including misinformation spread.The Surge of Anti-Semitism in German Social Media following the October 7 Attacks
We investigate the extent to which the Hamas attacks on Israel of October 7, 2023, have affected German social media debates about Judaism and Israel.Crude, Commercial, and Self-Referential: Chinese-Language Coordinated Activity in Japanese-Language X
Malicious coordination has long been regarded as a principal source of information ecosystem pollution.