Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Social media data for machine learning
- Ethics of AI in social data analysis
- Predictive modeling with social data
- Machine learning for public health insights
- Analyzing social trends using big data
- Data privacy in social data analytics
- Sentiment analysis in social networks
- Machine learning applications in education
- Impact of social data on policy making
- Collaborative filtering in social data
- User behavior prediction using analytics
- Machine learning for community engagement
- Social network analysis techniques
- Data visualization for social insights
- Predictive analytics for social good
- Challenges in social data integration
- Real-time analytics for social platforms
- Machine learning and misinformation detection
- Cultural implications of social data analytics
- Future trends in social data research
All papers must be original and not previously published or submitted elsewhere.
