Physical Sciences and Mathematics Commons^™

Machine Learning-Based Models For Assessing Impacts Before, During And After Hurricane Events, Julie L. Harvey

Electronic Theses and Dissertations

Social media provides an abundant amount of real-time information that can be used before, during, and after extreme weather events. Government officials, emergency managers, and other decision makers can use social media data for decision-making, preparation, and assistance. Machine learning-based models can be used to analyze data collected from social media. Social media data and cloud cover temperature as physical sensor data was analyzed in this study using machine learning techniques. Data was collected from Twitter regarding Hurricane Florence from September 11, 2018 through September 20, 2018 and Hurricane Michael from October 1, 2018 through October 18, 2018. Natural language …

Social Media In Higher Education: Building Mutually Beneficial Student And Institutional Relationships Through Social Media., Megan L. Fuller

Electronic Theses and Dissertations

Social applications such as Facebook, YouTube, and Twitter have driven the public growth of Web 2.0. Universities and colleges are using social media to reach student prospects, keep contact with current students and alumni, and provide a mechanism for group collaboration and interaction in the classroom. Higher education institutions are influenced by current social media trends, and figuring out how to effectively interact with various constituencies within the social media environment can be challenging.

In this study, a group of higher education students were surveyed about their social media practices and preferences with a focus on education-related activities. The goal …