Monitoring and Correcting HPV Vaccine Misinformation on Social Media
Session Number
Project ID: CMPS 08
Advisor(s)
Dr. Ming (Bryan) Wang, University of Nebraska-Lincoln
Discipline
Computer Science
Start Date
20-4-2022 9:30 AM
End Date
20-4-2022 9:45 AM
Abstract
Vaccine misinformation is widely disseminated on social media, and it is often difficult to correct. Social media posts that contain vaccine misinformation have been found to generate high engagement among social media users, and the spread of misinformation can be harmful to society. This project focuses on monitoring and analyzing sources and types of HPV vaccine misinformation on different social media platforms, mainly Instagram. In order to collect data on misinformation on different social media platforms, and to analyze the gathered data, R was used. During the data analysis process, the captions and hashtags of vaccine related Instagram posts were examined and collected to study word frequency and sentiment analysis. The data was also used to do topic modeling to analyze what is being said in these Instagram posts.
Monitoring and Correcting HPV Vaccine Misinformation on Social Media
Vaccine misinformation is widely disseminated on social media, and it is often difficult to correct. Social media posts that contain vaccine misinformation have been found to generate high engagement among social media users, and the spread of misinformation can be harmful to society. This project focuses on monitoring and analyzing sources and types of HPV vaccine misinformation on different social media platforms, mainly Instagram. In order to collect data on misinformation on different social media platforms, and to analyze the gathered data, R was used. During the data analysis process, the captions and hashtags of vaccine related Instagram posts were examined and collected to study word frequency and sentiment analysis. The data was also used to do topic modeling to analyze what is being said in these Instagram posts.