惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

PCI Perspectives
PCI Perspectives
Microsoft Security Blog
Microsoft Security Blog
MongoDB | Blog
MongoDB | Blog
T
The Blog of Author Tim Ferriss
罗
罗磊的独立博客
人人都是产品经理
人人都是产品经理
The Cloudflare Blog
Engineering at Meta
Engineering at Meta
Y
Y Combinator Blog
宝玉的分享
宝玉的分享
Recorded Future
Recorded Future
钛媒体：引领未来商业与生活新知
钛媒体：引领未来商业与生活新知
月光博客
月光博客
Recent Announcements
Recent Announcements
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Apple Machine Learning Research
Apple Machine Learning Research
T
Threatpost
The GitHub Blog
The GitHub Blog
M
MIT News - Artificial intelligence
Scott Helme
Scott Helme
P
Palo Alto Networks Blog
T
Tenable Blog
P
Privacy International News Feed
V
Visual Studio Blog
F
Fortinet All Blogs
酷 壳 – CoolShell
酷 壳 – CoolShell
I
Intezer
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
AI
AI
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
S
Security Affairs
S
SegmentFault 最新的问题
C
Cisco Blogs
博
博客园 - 聂微东
MyScale Blog
MyScale Blog
V
Vulnerabilities – Threatpost
量
量子位
T
The Exploit Database - CXSecurity.com
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Security Latest
Security Latest
P
Proofpoint News Feed
阮一峰的网络日志
阮一峰的网络日志
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
T
Troy Hunt's Blog
T
Tailwind CSS Blog
Stack Overflow Blog
Stack Overflow Blog
云风的 BLOG
云风的 BLOG
A
About on SuperTechFans
The Last Watchdog
The Last Watchdog

cs.SI updates on arXiv.org

Hiding in Plain Sight: Finding MAHA on Reddit Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling Algorithmic Cultivation: How Social Media Feeds Shape User Language Universal Dynamics of Punctuated Progress AI-Mediated Communication Can Steer Collective Opinion CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity Explainable Detection of Depression Status Shifts from User Digital Traces Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles Humanwashing -- It Should Leave You Feeling Dirty When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks Predicting Channel Closures in the Lightning Network with Machine Learning Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence When Can Digital Personas Reliably Approximate Human Survey Findings? RAwR: Role-Aware Rewiring via Approximate Equitable Partition GravityGraphSAGE: Link Prediction in Directed Attributed Graphs Structure-Centric Graph Foundation Model via Geometric Bases Attention-based graph neural networks: a survey When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge Scalable inference of spatial regions and temporal signatures from time series Can LLMs Emulate Human Belief Dynamics? Predicting Post Virality with Temporal Cross-Attention over Trend Signals H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks Topological Neural Tangent Kernel Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment Aitchison Embeddings for Learning Compositional Graph Representations Social Bias in LLM-Generated Code: Benchmark and Mitigation Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs Emotion-Aware Clickbait Attack in Social Media DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface Shape of Memory: a Geometric Analysis of Machine Unlearning in Second-Order Optimizers Misinformation Span Detection in Videos via Audio Transcripts The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks AI-Gram: When Visual Agents Interact in a Social Network XFlowMap: Cross-Scale Generalization and Mapping of Massive Origin-Destination Data When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest The Triadic Loop: A Framework for Negotiating Alignment in AI Co-hosted Livestreaming Optimal Exploration of New Products under Assortment Decisions Spectral Analysis of Fake News Propagation Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation Graph self-supervised learning based on frequency corruption The Moltbook Observatory Archive: an incremental dataset of agent-only social network activity Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers The Impact of AI-Generated Text on the Internet Network Effects and Agreement Drift in LLM Debates Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks Structural Diversity Drives Disruptive Scientific Innovation SP-GCRL: Influence Maximization on Incomplete Social Graphs Beyond Individual Mimicry: Constructing Human-Like Social network with Graph-Augmented LLM Agents Real-World Challenges in Fake News Detection: Dealing with Posts by Cold Users Measuring the Semantic Structure and Evolution of Conspiracy Theories Inference Headroom Ratio: A Diagnostic and Control Framework for Inference Stability Under Constraint Counting Without Numbers and Finding Without Words WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection When Annotators Agree but Labels Disagree: The Projection Problem in Stance Detection Representing Higher-Order Networks: A Survey of Graph-Based Frameworks XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deception Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis Form Without Function: Agent Social Behavior in the Moltbook Network Hijacking online reviews: sparse manipulation and behavioral buffering in popularity-biased rating systems Integration of Deep Reinforcement Learning and Agent-based Simulation to Explore Strategies Counteracting Information Disorder Who Shapes Brazil's Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube's Media Ecosystem Geodesic Semantic Search: Cartographic Navigation of Citation Graphs with Learned Local Riemannian Maps PACIFIER: Pacing Opinion Depolarization via a Unified Graph Learning Framework AI Agents Alone Are Not (Yet) Sufficient for Social Simulation Emergent Social Structures in Autonomous AI Agent Networks: A Metadata Analysis of 626 Agents on the Pilot Protocol What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews Social Story Frames: Contextual Reasoning about Narrative Intent and Reception Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction VERA-MH Concept Paper Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims Anti-establishment sentiment on TikTok: Implications for understanding influence(rs) and expertise on social media LLM Agents Are the Antidote to Walled Gardens Fast Geometric Embedding for Node Influence Maximization GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs Human-AI Governance (HAIG): A Trust-Utility Approach Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction Leveraging graph neural networks and mobility data for COVID-19 forecasting Opinion de-polarization in social networks with GNNs Leveraging Ensemble-Based Semi-Supervised Learning for Illicit Account Detection in Ethereum DeFi Transactions Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
Keeping Score: A Quantitative Analysis of How the CHI Community Appreciates Its Milestones
Jonas Oppenlaender, Simo Hosio · 2025-01-05 · via cs.SI updates on arXiv.org

The ACM CHI Conference has a tradition of citing its intellectual heritage. At the same time, we know CHI is highly diverse and evolving. In this highly dynamic context, it is not clear how the CHI community continues to appreciate its milestones (within and outside of CHI). We present an investigation into how the community's citations to milestones have evolved over 43 years of CHI Proceedings (1981-2024). Forgetting curves plotted for each year suggest that milestones are slowly fading from the CHI community's collective memory. However, the picture is more nuanced when we trace citations to the top-cited milestones over time. We identify three distinct types of milestones cited at CHI, a typology of milestone contributions, and define the Milestone Coefficient as a metric to assess the impact of milestone papers on a continuous scale. Further, we provide empirical evidence of a Matthew effect at CHI. We discuss the broader ramifications for the CHI community and the field of HCI.

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。