Call for Papers: Special Issue on AI-Driven Computational Methods for Social Media Analysis
Applied System Innovation, MDPI Journal

Dear Colleagues,
Social media platforms generate massive amounts of heterogeneous, unstructured, and dynamic data every day. Extracting meaningful knowledge from this data requires advanced computational approaches that can handle scale, complexity, and rapid change. This Special Issue focuses on AI-driven methods that push the boundaries of social media analysis, including both theoretical foundations and practical applications.
We invite original contributions that present novel algorithms, models, frameworks, and applications leveraging Artificial Intelligence for social media understanding, monitoring, prediction, and analysis. Topics of interest include, but are not limited to:

-Large Language Models (LLMs) and Generative AI for text mining, misinformation detection, and content generation.
-Machine learning and deep learning approaches for user behavior analysis, sentiment analysis, and trend detection.
-Graph-based and network analysis techniques for community detection, influence modeling, and information diffusion.
-Multimodal data analysis combining text, images, video, and audio from social platforms.
-Real-time and adaptive models for event detection and crisis monitoring.
-Ethics, fairness, transparency, and privacy in AI-based social media analysis.

Guest Editors:

Dr. Maria Dolores Ruiz
Dr. Jose Angel Diaz-Garcia, Guest Editor Assistant

Important Dates:

Paper Submission Deadline: 30 April 2026