Social media and networking platforms have billions of active users and leverage significant impacts on society. New types of social media and networking platforms or new features of existing platforms continue to be developed to meet users’ demands. With an increasingly large amount of unstructured social data on these platforms, social media and networking analytics research has the following scientific challenges:
- Challenges in assessing social media’s impact on societal polarization and social phenomena.
- Absence of a central platform for debates and discussions on key issues globally.
- Difficulty in detecting and analyzing the spread and impact of misinformation.
- Utilizing social media data for logistics planning in disaster response.
- Content-based indexing of unstructured and multimedia data for decision-making via deep learning.
- Difficulty in visualizing large-scale social network data.
The Social Media Research Group focuses on advancing the understanding and development of technologies for analyzing and addressing challenges in social media platforms.
Our current research topics include:
- Cyberbully detection
- Sentiment analysis
- Cross-domain hate speech detection
- Minority stress detection
- Emotional support systems
- Stance detection enhancement
- Online debate analysis
- Enhanced retrieval for Boolean logic queries
- Bias mitigation in recommendation systems