Latest Research in Content Integrity And Affective Computing

Top Research Topics in Content Integrity And Affective Computing

• Computation and Language — 35 papers
• Sentiment Analysis and Opinion Mining — 28 papers
• Misinformation and Its Impacts — 22 papers
• Spam and Phishing Detection — 9 papers
• Hate Speech and Cyberbullying Detection — 8 papers
• Computer Vision and Pattern Recognition — 8 papers
• Artificial Intelligence — 3 papers
• Social and Information Networks — 3 papers
• Cryptography and Security — 3 papers
• Computational and Text Analysis Methods — 3 papers

Highest-Cited Papers

1. TANDEM: Temporal-Aware Neural Detection for Multimodal Hate Speech
2. An authorship-centric AI framework for forensic identification of coordinated actors in social media astroturfing campaigns
3. Structure-Aware Propagation Graph Learning for Platform-Side Rumor Risk Screening Under Limited Observation
4. A Hybrid Transformer-Ensemble Framework for Precise Election Poll Analysis
5. An Optimized Method for Sentiment Analysis of Short Video Comments in University Reputation Monitoring Based on Domain Dictionary and Prompt Learning
6. Comparative Analysis of Large Language Model in Assisting Cross-domain Rumor Detection
7. Early detection effectiveness of fake news/information disorder classifiers using target-based emotions and stances on evolving social networks
8. Fine-Grained Detection of Implicit Hate Speech in Chinese Based on Contrastive Learning and Retrieval-Augmented Adjudication
9. StanceFlip: A Comprehensive Multi-Dimensional Benchmark for Multimodal Conversational Stance Flipping Forecasting
10. A Topic-Aware Structured Semantic Representation Framework for Sentiment Analysis in Greek Social Media
11. Token-Region Guided Cross-Attention Fusion for Multimodal Affect Interpretation
12. Separating Clicks from Baits: Using Large Language Models to Detect Misleading YouTube Thumbnails
13. Enhancing sentiment analysis accuracy: strategic pre-calibration to mitigate anchoring bias
14. SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
15. AFAPS: An Efficient ECC-Based Authentication Framework for Autonomous Airdrop Parachute Systems
16. A hybrid RoBERTa–BiLSTM framework for aspect-based sentiment analysis of Monkeypox tweets
17. SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
18. Research on Cultural Tourism Product Portfolio Optimization and Profit Attribution Based on Representation Learning and Causal Inference
19. EVL-MCoT: Enhanced Vision-Language Multi-CoT for Harmful Meme Detection
20. When Machines Lie Differently: Detecting AI vs Human Fake News

Sub-Regions

• Misinformation and Its Impacts — 38 papers
• Sentiment Analysis and Opinion Mining — 38 papers
• Computation and Language — 28 papers
• Computer Vision and Pattern Recognition — 21 papers
• Hate Speech and Cyberbullying Detection — 9 papers
• Computation and Language — 6 papers