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.
Get the few papers worth your time in Social & Information Networks every morning.
Follow Social & Information Networks 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 2
From Needs Assessment to Legal-Digital Empowerment: A Community-Based Framework for Indigenous Enterprises in Higher Education Extension Programs
IPOs contribute significantly to local economies, cultural preservation, and sustainable livelihoods within their ancestral communities.AskGLP1: A Knowledge Graph LLM Agent for Exploring GLP-1 Experience from Online Patient Narratives
GLP-1 medications are increasingly used for weight management, and many people share their experiences online.ArchiveLens: A Generative Spatial Knowledge Framework for Semantic Reconstruction of Historical Maps
Historical maps contain dense morphological and semantic information about past urban environments, but many digitization workflows focus primarily on extracting geometry, and do not capture…Fuji: The Shape, Composition, and Spread of Demand Bursts on Robinhood Chain
Demand on blockchain-based marketplaces arrives in bursts and at a high rate.Joint Independence Testing for Latent Position Random Graphs
Kernel techniques are among the most powerful methods in data science and statistics.Fear Doesn't Go Viral, It Lingers: Spread, Affect, and Discourse of Food-Fear Content on TikTok
TikTok has become a primary channel for nutrition information, and alongside evidence-based content, it hosts a growing stream of \emph{fear-based} wellness messaging that frames ordinary foods as…Do "True" and "False" Add Up to One? Complement Consistency in LLM-Agent Opinion Simulations
In LLM-agent opinion simulations, each agent reports the probability that a claim is true after seeing its own previous probability and the probabilities reported by its neighbors, and that number…Learning the Past from the Future: Retrospective Reconstruction in Temporal Interaction Networks
Temporal link prediction uses past interactions to predict future links.In-Browser Human-AI Co-Writing for Counterspeech: An Exploratory User Study of Agency, Perceived Response Quality, and Time
Writing counterspeech that challenges online hate speech can be cognitively and emotionally demanding, whereas fully automated generation may weaken users' sense of voice and responsibility.Social-HUMINT: An LLM-Augmented Unified Framework for Measuring Social Media Exposure
In the post-API landscape, social-media profiling has become inexpensive and automated: Large Language Models (LLMs) can extract structured information from unstructured content and deduce…Intergroup Bias Predicts Expressions of Social Judgment and Empathy in the r/AmITheAsshole Reddit Community
People share and understand others' experiences differently based on their social identities; often, people empathize more when the other person belongs to their ingroup compared to an outgroup.X-pressing Intimacy: Mental Health Disclosure After Twitter Acquisition
Social media platforms provide spaces for individuals to disclose mental health experiences and seek support, yet how these disclosures evolve during major shifts in platform governance remains…Beyond a Single Sentiment Score: Topical and Affective Dimensions of Emoji Meaning on Twitter
Emoji are widely treated as compact affective tokens whose meaning is summarised by a single sentiment score.To Manipulate or Not: Opinion Dynamics in LLM Interactions
Large language models increasingly take part in extended conversations where they can both shape and be shaped by another party's views, yet most persuasion research measures only one side of that…Optimizing Marketing Budgets for Social Influence: A Generalized Fractional Incentives Framework
Marketing managers routinely allocate limited budgets across individuals in social networks whose responsiveness and influence vary substantially.Where Does Rhetorical Distortion Live? A Multi-Platform, Multi-Language Measurement of Influencer Content
Much of the manipulation in online influencer content is not false but disproportionate: an accurate fact is framed as historic, urgent, or catastrophic.Scam Town: Can Scam Education Spread Like a Vaccine?
Most older adults who hear a warning about scams hear it from someone they know: a relative, a neighbour, or a friend who was targeted.Self-organizing reinforcement learning: a learner-free swarm approaches the explore-exploit optimum
The explore/exploit trade-off is the core problem of reinforcement learning (RL).Do LLMs Really Lack Difference Awareness? Uncovering Heuristic Substitution in Group-Differentiating Fairness
In this paper, we investigate the issue of difference awareness in LLMs, defined as a model's ability to recognize and acknowledge meaningful differences between social groups in fairness…YouTube Clips and Broad but Shallow Attention to Candidates: Evidence from the 2024 Tokyo Gubernatorial Election
Video-sharing platforms and social media have gained influence in election campaigns, and third-party edited videos (called kirinuki in Japanese; hereafter, "clip videos") in particular have…