In the face of a potentially disastrous storm like Hurricane Ida, people take to Twitter and other social media sites to communicate vital information. New research published in the journal Risk Analysis suggests that monitoring and analyzing this social media “chatter” during a natural disaster could help decision makers learn how to plan for and mitigate the impacts of severe weather events in their communities.
Scientists at PNNL have developed a tool called WatchOwl to collect more than 4 million tweets per day related to the COVID-19 pandemic. The scientists use natural language processing and deep learning to analyze tweets and reactions related to interventions like social distancing and movement restrictions.
The University of Arkansas at Little Rock Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) Lab has received approval from the Arkansas Department of Education (ADHE) to become an established research center on campus.“By designating COSMOS as a formal center, UA Little Rock will be a leader and pioneer in social media analytics and social media forecasting,” said Dr.
In partnership with Kairos Research, the University of Arkansas at Little Rock has been awarded a contract from the U.S. Office of Naval Research to develop a web-based tool and app to detect bot accounts on Twitter.
Researchers from Michigan State University and California State University-Fullerton conducted the first study comparing problematic use between Facebook and Snapchat — while also uncovering surprising findings about users’ personality traits.
As COVID-19 sweeps across the U.S. and the world, people have taken to social media with concerns, questions and opinions. Researchers at Missouri S&T are analyzing tens of millions of posts on Twitter in real time to show how attitudes toward the disease have changed. The researchers are designing machine learning and natural language processing techniques for the study.