Social media platforms have billions of active users and significantly impacted our society. New types of platforms or new features in 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 analysis research aims to develop efficient, reliable, scalable, explainable, reproducible, and theoretically grounded data science approaches to understand our digital behaviors and make it a safer and valuable place. Our talk will focus on collective opinions and their evolution, deviant behavior modeling, automatic annotation of multimedia data, and informing disaster response with social media….Continue Reading Media Matters: Innovations to Improve the Value Derived from Social Media Networks
Year: 2021
Socially Aware Data Analytics
There are increasing concerns from the public on privacy, fairness, safety, and robustness issues of data analytics, data collection, data sharing, and decision making. The social awareness thrust team will present their cutting-edge research on socially aware data analytics that can address social concerns and enable big data analytics to promote social good and prevent social harm….Continue Reading Socially Aware Data Analytics
First Steps toward a Data Washing Machine
Data has a life cycle from planning to acquiring, cleansing, storing & sharing, integrating, application, and disposing. While AI and machine learning have taken the application of data to new levels, the other phases remain largely manually mediated processes. The research goal for the Data Life Cycle and Curation thrust is to develop fully automated processes for the other phases of the data life cycle. The presentation today describes some of the progress of the research finding ways to automate data cleansing and data integration phases of the data life cycle….Continue Reading First Steps toward a Data Washing Machine