A team of researchers from the Center for Health Sciences at the University of Tennessee analyzed public opinion data on the COVID-19 vaccine from December 2020 to May 2021 on one popular social media platform, rather than negative sentiment about the vaccine. Also found positive feelings.
NS study UTHSC-Arash Shaban-Nejad, Ph.D., Associate Professor at Oak Ridge National Laboratory (ORNL) Center for Biomedical Informatics. And pediatrics recently Journal of Infection and Public Health.. The title of this study is “Public Opinion Analysis and Topic Modeling of COVID-19 Vaccines on Reddit Social Media Platform: A Call to Strengthen Vaccine Reliability.”
“using Sentiment analysis Dr. Shaban-Nejad said, “Sentiment analysis is a quick and inexpensive method used to evaluate and determine the opinions of the general public. A deeper context for a particular event or idea. Topic modeling is textual. It’s an equally useful tool for identifying clusters of words or potential topics discussed in the text. Therefore, these adopted algorithms are almost in the mood of the general public and the focus of discussion in just minutes. We can provide a realistic assessment. “
“Our results show that emotions were generally more positive than negative during the period of focus,” said Dr. Shaban Nehad. However, he said the public debate expressed more concern about the side effects of the vaccine than the conspiracy theory.
“Understanding public opinion Emotions are key to public health policymakers’ ability to implement effective and efficient vaccination policies and target transparent, culturally sensitive vaccine promotion programs that take into account individual differences. ” Said Dr. Shaban-Nejad. Implement and optimize intelligent digital technology to identify false information on social media and give users access to a trusted source of vaccine information. ”
Chad A. Melton et al, Public Opinion Analysis and Topic Modeling on COVID-19 Vaccines on Reddit Social Media Platform: Call for Action to Enhance Vaccine Reliability, Journal of Infection and Public Health (2021). DOI: 10.1016 / j.jiph.2021.08.010
University of Tennessee, Knoxville
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