Social Media

Understanding how and why people use social media, and how it impacts access and dissemination of information

Researchers Working in this Area

Related Research Projects

Identifying False HPV-Vaccine Information and Modeling Its Impact on Risk Perceptions

Time frame
2020-Present
Investigator
Jessie Chin
Total funding to date
$389,810.00
Funding agency
National Institutes of Health

Human papillomavirus (HPV) is the most common sexually transmitted infection in the U.S., with over 34,000 new HPV-related cancers diagnosed annually, according to the Centers for Disease Control and Prevention. An HPV vaccine, which was approved by the Food and Drug Administration (FDA) in 2006, is recommended as part of routine vaccinations for school-aged children. However, the vaccine's…

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Improving Patient Outcomes by Listening to Their Social Media Communications

Time frame
2017-2019
Investigator
Ian Brooks
Total funding to date
$15,000.00
Funding agency
Homecare Education Advocacy & Resource Team Support

It is difficult to understand the effectiveness of various treatment options when a huge number of external factors such as lifestyle, diet, and environment affect the burden of a disease. A major barrier to understanding is the challenge of scale—sampling enough patients to separate the major, minor, and negligible factors. With access to a database of more than one trillion public social…

social media icons

Microblog Search

Time frame
2010-2016
Total funding to date
$68,277.00
Funding agency
Google

Microblogging services like Twitter are becoming an important part of how many people manage information in their day to day activities. As microblog traffic increases (Twitter currently sees about 50 million tweets per day) information management and organization will become keen problems in this area. The project will define the core problems in microblog search and propose solutions to…

Natural Language Processing for Building and Enhancing Graph Data and Theory

Investigator
Jana Diesner

How can we use user-generated content to construct, infer or refine network data? We have been tackling this problem by leveraging communication content produced and disseminated in social networks to enhance graph data. For example, we have used domain-adjusted sentiment analysis to label graphs with valence values in order to enable triadic balance assessment. The resulting method enables…

NCSA Faculty Fellowship: Predictive Modeling for Impact Assessment

Time frame
2015-2016
Investigator
Jana Diesner
Total funding to date
$24,323.00
Funding agency
National Center for Supercomputing Applications

Assistant Professor Jana Diesner a received an Faculty Fellowship and seed funding for her project, “Predictive Modeling for Impact Assessment,” from the National Center for Supercomputing Applications (NCSA). Diesner collaborates closely with NCSA scientists on the project, which builds on her work developing computational solutions…

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