Social Media Analytics for Information Science and Systems Research: Unveiling Opportunities through Big Data Insights (Hosted by SIG-SM)

Description

This webinar will showcase the potential of social media analytics using a summary of three research studies. The first study focuses on predicting content popularity and modeling information spread on Twitter. The second study explores the integration of social media and clinical data for improved disease surveillance. Lastly, the third study investigates the alignment between business and social media strategies, unveiling insights through topic modeling and identifying clusters of organizations with varying levels of alignment. These studies offer valuable insights into harnessing the power of social media analytics for research and practical applications. Participants will understand the impact of social media analytics on content popularity and information spread, explore the integration of social media and clinical data for enhanced disease surveillance, and recognize the importance of aligning business and social media strategies.