Sentiments in emotional tweets related to COVID-19 vaccinations, whether positive or negative, predict the following number of vaccinations. This is the result of a tweets analysis by the NYU Courant Institute of Mathematical Sciences ( HERE ) and the NYU Grossman School of Medicine ( HERE ). This research provides new insights into the influence that social media has on public health measures. ( HERE )
Looking for a mood barometer
The study shows that positive feelings about vaccinations expressed on Twitter lead to an increase in vaccination numbers in the corresponding geographical region one week later. Negative sentiments on Twitter, however, correspond to declines in vaccination numbers the following week. A “Real-Time Big Data Analytics Framework” was used for the investigation, as well as sentiment analysis and NLP algorithms. The system takes tweets in real time and identifies tweets that are related to vaccines. They are then classified based on specific topics and a sentiment analysis is carried out, cataloging the tweets as positive, negative or neutral.
According to Megan Coffee, one of the study authors, vaccine hesitancy and the impact of social media must be understood as it arises and spreads. “This is a first step towards creating a barometer to track sentiments and themes related to vaccine hesitancy. According to Anasse Bari, another study author, the epidemic brought more people to computers and vaccine hesitancy shaped the epidemic. “We need tools like this to track and understand the impact of social media on vaccine hesitancy. That applies to this epidemic, but also to future events.”
“Big Data Analytics Application”
The researchers have developed a “Big Data Analytics Application” based on Natural Language Processing (NLP), Sentiment Analysis (SA) and Amazon Web Services (AWS). This tool makes it possible to track various vaccination-related topics as they appear in dozens of formulations. These topics include, but are not limited to, conspiracy, fear, health freedom, natural alternatives, side effects, safety, trust/distrust, vaccine manufacturers, established sources, and hesitancy. These themes and associated wording allow researchers to assign sentiment scores to the vaccine - positive, negative or neutral.
Additionally, the team used the Institute of Electrical and Electronic Engineers Dataport (HERE) , a commonly used dataset that marks the sentiment scores of coronavirus tweets based on geographic location in the United States. The analyzed data set includes more than 23,000 vaccination-related tweets for the period March 20 to July 20, 2021. The researchers also examined the daily vaccination numbers transmitted state by state. The research results were published in “Clinical Infectious Diseases.”
Conclusion
Apparently there is a connection between feelings expressed in emotional tweets on Twitter regarding the corona protection vaccination and the actual vaccinations in the following period. This is the result of an American study. This is a first step towards a mood barometer with regard to topics relating to vaccine hesitancy.
Source: press text.editorial
Also read: Backing out? Elon Musk assumes that over 20 percent of Twitter accounts are fake!
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Notes:
1) This content reflects the current state of affairs at the time of publication. The reproduction of individual images, screenshots, embeds or video sequences serves to discuss the topic. 2) Individual contributions were created through the use of machine assistance and were carefully checked by the Mimikama editorial team before publication. ( Reason )

