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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Newest papers
The Popular Get More Popular: Auditing Brand Bias in Generative Search
The shift from traditional to generative search has fundamentally transformed online product discovery.AraEngage: Interpretable Linguistic Correlates of Engagement in Arabic Facebook News
Engagement features developed for English are routinely applied to Arabic, but unvocalized Arabic changes what a lexical feature measures.Beyond the Keyword: A Human-Annotated Benchmark for Arabic Anxiety-Related Discourse
Keyword retrieval returns expressions of personal anxiety together with many other uses of anxiety-related language.Scientific Liquidity Agents: An Agent-Based Model of Knowledge Arbitrage in Scientific Communities
Scientific knowledge gains new uses when ideas, methods, and results move between research contexts.Constructing an Artworld Influencers Network by Mining Social Media
The author shows a methodology for constructing a network map of the artworld.A Common Language for Dynamic Graphs: Interaction Tokenization Enables Foundation Models
Dynamic graphs capture evolving interactions in Web systems, including online communication, user engagement, and recommendation.Strictly proper scoring rules for node selection tasks on graphs
In node selection tasks, the goal is to identify a single unknown target node in a graph.CrowdForge: Effects of Audio and Visual Audience Participation Modalities on Agency, Collaboration, and Engagement in AI-Mediated MR Performances
Technology-mediated audience participation (TMAP) enables audiences to influence live performances, yet balancing interaction with meaningful agency remains challenging.Rapid Mobilisation and Organisational Fragmentation: The Telegram Ecosystem during the 2026 Italian Student Protests
In October 2026, social media pages named \emph{Italia in Piazza} used several platforms to call for demonstrations in Italian cities.LLM Recommenders Produce Demographic Inequality Through Content Preferences
Large language models (LLMs) are increasingly being integrated into systems that rank and recommend online content.Recommendation Feedback Loops Shape Urban Income Segregation and Venue Visitation
Location-based recommender systems shape where people go in cities and learn from the visits they steer, forming a human-AI feedback loop.Early-Buyer Groups and Fast-Wallet Teams on a Bonding-Curve Launchpad: A Prospective Measurement Study of pump.fun on Solana
We study coordinated groups of wallets on a bonding-curve launchpad (pump.fun on Solana), using a complete record of 200\,443 token launches, 15\,854\,121 curve trades and 51\,025\,958 SOL transfers…Finding Is Not Returning, Returning Is Not Reconstructing: A Multi-Dimensional Evaluation of Agent Social Re-entry
As Large Language Model (LLM) agents increasingly participate in persistent social environments, understanding their long-term social interaction capabilities becomes increasingly important.Crowds Believe in You: Online Prediction Markets Overestimate How Often People Achieve Their Own Goals
People increasingly share personal goals online and invite others to forecast them.Revisiting Temporal Link Prediction through Structural Proximity
Existing temporal link prediction methods typically rely on learned temporal representations to capture evolving interaction patterns.Spectral Braids: A Topological Descriptor for Dynamic Directed Networks
Eigenvalues are a workhorse of graph machine learning: spectral clustering, spectral graph neural networks, and graph kernels all summarize a network by the eigenvalues of a matrix.Rare, Relevant, and Still Wrong: How Memory Fails LLM Group Decisions
When an LLM group's discussion is compressed into a short memory for a final decision maker, what should the memory keep?New Election, Same Old Story: How Tropes Form a Grammar of Election Rumors
Recent elections in the United States have seen online rumors become a regular feature of election discourse as voters and election officials work to navigate a sea of digitally spread claims and…Counterfactual assessment of social media interventions by separating exposure from engagement
Social media interventions are usually evaluated in individual-level experiments, which are costly to scale and often miss collective effects.SAC-GCL: Structure-Aware Compression for Graph Contrastive Learning
Graph Contrastive Learning (GCL) has achieved remarkable success in self-supervised representation learning by maximizing agreement between augmented views of a graph.