[Article] Twitter Analysis on Vaccines Name

Research Article_s NLP

In these trying times, we collected and analysed the tweets on anti and pro vaccination.

Thierry Warin https://www.warin.ca (HEC Montréal & CIRANO (Canada))https://www.hec.ca/en/profs/thierry.warin.html
04-02-2021

We collected vaccines’ name related tweets between January 10, 2020 and March 24, 2021 using the list of vaccines’ name currently “in use” provided by the London School of Hygiene & Tropical Medicine (2021) as predefined search terms (“Cormirnaty” OR “CoronaVac” OR “Covaxin” OR “Covishield” OR “SputnikV”).

Institutes Vaccine in use
Beijing Institute of Biological Products/Sinopharm BBIBP-CorV
Bharat Biotech/ICMR/National Institute of Virology Covaxin
Chumakov Center,/Russian Academy of Sciences CoviVac
Sinovac CoronaVac
Wuhan Institute of Biological Products/Sinopharm WIBP vaccine
Anhui Zhifei Longcom Biopharmaceutical/Chinese Academy of Sciences ZF2001
Vector Institute (peptide) EpiVacCorona
BioNTech/Pfizer/Fosun Pharma BNT162
Moderna/NIAID mRNA-1273
CanSino Biological Inc/Beijing Institute of Biotechnology Ad5-nCoV
Gamaleya Research Institute Gam-COVID-Vac/Sputnik V
Janssen Pharmaceutical Companies Ad26.COV2.S
University of Oxford/AstraZeneca ChAdOx1-S


A total of 50711 tweets was collected, with a number of tweets for each vaccine respectively: Cormirnaty (431); CoronaVac (21973); Covaxin (11068); Covishield (7154) and SputnikV (10085).

We have selected the English language and the official language of each vaccin’s origin country to be processed. We removed the other languages from the analysis. We identified and removed retweets from the analysis, as well as punctuation, Twitter user mentions (@username), numbers, html links and pictwitter. We also removed stop words (for each language) such as “an” and “the” in order to better highlight the most recurring words.

The Structural Topic Model stm R package developed by Roberts, Stewart, and Tingley (2019) was used to flexibly estimate a topic model that includes document-level metadata on the tweets. We ran a stm model on each vaccine’s name data (.csv file) with the language as a covariate in the topic prevalence portion of the model. We will let prevalence be a function of the “language” variable, which is coded as either “en” or the country official language code (ex: “hi” for Hindi, “de” for “German”, etc.) and the variable “day” which is an integer measure of days running from the first to the last day of a year.

This article is inspired by the data pipeline presented in Warin (2020).

Comirnaty

Top Topics

Topics Correlation

Topic Perspective

Topic 6 is showed in this visual.

Worldcloud

Topic 6 is showed in this visual.

CoronaVac

Top Topics

Topics Correlation

Topic Perspective

Topic 6 is showed in this visual.

Worldcloud

Topic 6 is showed in this visual.

Covaxin

Top Topics

Topics Correlation

Topic Perspective

Topic 8 is showed in this visual.

Worldcloud

Topic 8 is showed in this visual.

Covishield

Top Topics

Topics Correlation

Topic Perspective

Topic 7 is showed in this visual.

Worldcloud

Topic 7 is showed in this visual.

SputnikV

Top Topics

Topics Correlation

Topic Perspective

Topic 9 is showed in this visual.

Worldcloud

Topic 9 is showed in this visual.

London School of Hygiene & Tropical Medicine, Vaccine Centre at the. 2021. “COVID-19 Vaccine Tracker.” https://github.com/vac-lshtm/VaC_tracker.

Roberts, Margaret E., Brandon M. Stewart, and Dustin Tingley. 2019. “Stm: An R Package for Structural Topic Models.” Journal of Statistical Software 91 (2).

Warin, Thierry. 2020. “Global Research on Coronaviruses: An R Package.” Journal of Medical Internet Research 22 (8): e19615. https://doi.org/10.2196/19615.

References

Citation

For attribution, please cite this work as

Warin, "www.warin.ca: [Article] Twitter Analysis on Vaccines Name", , 2021

BibTeX citation

@article{warin2021[article],
  author = {Warin, Thierry},
  title = {www.warin.ca: [Article] Twitter Analysis on Vaccines Name},
  journal = {},
  year = {2021},
  note = {https://warin.ca/posts/article-vaccines-name/},
  doi = {}
}