Latest Research in Misinformation and Its Impacts
38 research papers · 2026 median publication year
Top Research Topics in Misinformation and Its Impacts
- Misinformation and Its Impacts — 20 papers
- Spam and Phishing Detection — 3 papers
- Cryptography and Security — 2 papers
- Satellite Communication Systems — 2 papers
- Computation and Language — 2 papers
- Advanced Technologies in Various Fields — 1 papers
- Applications — 1 papers
- Machine Learning — 1 papers
- Social Robot Interaction and HRI — 1 papers
- Corporate Social Responsibility Reporting — 1 papers
Highest-Cited Papers
- An authorship-centric AI framework for forensic identification of coordinated actors in social media astroturfing campaigns
- Structure-Aware Propagation Graph Learning for Platform-Side Rumor Risk Screening Under Limited Observation
- Comparative Analysis of Large Language Model in Assisting Cross-domain Rumor Detection
- Early detection effectiveness of fake news/information disorder classifiers using target-based emotions and stances on evolving social networks
- Research on Cultural Tourism Product Portfolio Optimization and Profit Attribution Based on Representation Learning and Causal Inference
- When Machines Lie Differently: Detecting AI vs Human Fake News
- Chained Attacks on Drone-Based Federated Learning: From Network Disruption to Device Impersonation
- A Forensic Text Analytics Framework for Fake Social Media Profile Detection
- The role of AI in combating misinformation: leveraging text mining and social networking analysis
- EASIER: multi-modal fake news detection via evidence-augmented scene graphs and interactive embedding reasoning
- Federated Lightweight Intrusion Detection in Drone Swarms with Knowledge Distillation
- Coordinated Deception: Generative Agents for Multi-Agent Fake News Generation
- Mitigating the Proliferation of Fake News on Social Media with Machine Learning Algorithms
- AROS-S: A Lightweight Onboard Anomaly Detector for Satellite Telemetry
- Mitigating the Proliferation of Fake News on Social Media with Machine Learning Algorithms
- Problematic English news analysis at different levels: Phrase, sentence, intent, and article
- Detecting AI-Generated E-Commerce Reviews with Sheaf-Hypergraph Consensus Residuals: Interpretable Signals and Cross-Domain Asymmetry
- H-FuseNet: A Hybrid Multi-Representation Fusion Framework for Robust Misinformation Detection
- Multimodal rumor detection enhanced by external evidence and forgery features
- Balancing the truth: social media misinformation detection via GraphSAGE and feature diversity