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Home/ All Articles/ Metadata and Sentiment Data Analytics on Social Media Tweets

Abstract & Article Details

Review Article • Vol.6, Issue 7 • ISSN: 2766-2276 • Open Access • CC BY 4.0

Open Access Review Article Vol.6, Issue 7 July 16, 2025

Metadata and Sentiment Data Analytics on Social Media Tweets

DOI: 10.37871/jbres2143
Authors
Alice S Etim*

Abstract

The outbreak of COVID-19 pandemic in early 2020 led to decisions by both the federal and state governments in the United States of America (hereafter, governments) to implement policies about staying at home to reduce the spread of the COVID-19 virus. With the closure of many businesses, people worked from home and schools moved face-to-face classes to online or remote learning. People were concerned about the policies and the impact of such policies on their livelihood. Social media websites such as Twitter (X) were used to voice opinions about the challenges posed by the stay-at-home orders. People expressed positive and negative sentiments about the closures and reopening of offices, schools, restaurants, and other public places as well as the impact of the government stay-at-home policies. This article examines both the positive and negative sentiments expressed using the tweets from the Twitter (X) platform. The metadata and sentimental data collected via the social media site, Twitter (X) for three states – North Carolina, Pennsylvania, and California on the pandemic, stay-at-home and reopening policies were analyzed and discussed. The study adds value to existing literature about COVID-19 in understanding people’s opinions, better information sharing by governments, scientists and others that influence policy decisions in cases of future public health crisis.

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How to Cite

Alice S Etim* (2025). Metadata and Sentiment Data Analytics on Social Media Tweets. Journal of Biomedical Research & Environmental Sciences, 6(7). https://doi.org/10.37871/jbres2143

Article Information

JournalJournal of Biomedical Research & Environmental Sciences (JBRES)
ISSN2766-2276
DOI DOI 10.37871/jbres2143
Volume / IssueVol. 6, Issue 7
ReceivedJune 21, 2025
AcceptedJuly 15, 2025
PublishedJuly 16, 2025
Article TypeReview Article
Pages884-890
LicenseCC BY 4.0 — Open Access
PublisherSciRes Literature LLC, Sheridan, WY, USA
LanguageEnglish
Creative Commons BY 4.0

Published under CC BY 4.0 — free to share, copy, adapt, and redistribute with attribution.

Certificate of Publication

Certificate of Publication — Metadata and Sentiment Data Analytics on Social Media Tweets

Certificate verifies that this article was peer-reviewed and published in the Journal of Biomedical Research & Environmental Sciences.

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