Adaptive Graph Convolution and Semantic-Guided Attention for Multimodal Risk Detection in Social Networks

2025/09/21 by Chunyang Du, Chia-En Chiang, Du, Cuiqianhe +4
Computer Science · Physics and Astronomy · #Advanced Text Analysis Techniques #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sentiment Analysis and Opinion Mining

paper · pdf · doi:10.48550/arxiv.2509.16936

openalex publication_date 2025/09/21 · openalex created_date 2025/10/16 · openalex updated_date 2026/07/28

Abstract

This paper focuses on the detection of potentially dangerous tendencies of social media users in an innovative multimodal way. We integrate Natural Language Processing (NLP) and Graph Neural Networks (GNNs) together. Firstly, we apply NLP on the user-generated text and conduct semantic analysis, sentiment recognition and keyword extraction to get subtle risk signals from social media posts. Meanwhile, we build a heterogeneous user relationship graph based on social interaction and propose a novel relational graph convolutional network to model user relationship, attention relationship and content dissemination path to discover some important structural information and user behaviors. Finally, we combine textual features extracted from these two models above with graph structural information, which provides a more robust and effective way to discover at-risk users. Our experiments on real social media datasets from different platforms show that our model can achieve significant improvement over single-modality methods.

Citations

• A General Black-box Adversarial Attack on Graph-based Fake News Detectors
• Fake News Detection Through Graph-based Neural Networks: A Survey
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• Can Large Language Models Transform Computational Social Science?
• Can Large Language Models Transform Computational Social Science?
• HateBERT: Retraining BERT for Abusive Language Detection in English
• Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation

Related

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• Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective