No Image

No Image

Total Deaths

2.37M

Total Recovered

60.4M

Total Infected

$108M


INTRODUCTION: Through collaborative efforts online, Wikipedia has always been at the forefront of providing information to the public on almost any topic, including a pandemic. Covid-19 has been one of the most relevant topics of 2020 and still remains so as of right now, therefore gathering as much information as possible is essential for the world to combat such a virus. We are going to investigate how these articles are created and edited, and how an online community can be used to monitor a pandemic. Online communities present real time, unique, comprehensive information and a new understanding of the covid pandemic by studying page views, edits and comparing information to reliable sources.


Trulli
Word Cloud: Wikipedia
Trulli
Word Cloud: John Hopkins
Trulli
Word Cloud: World Health Orginzation

COVID-19 Numbers From Wikipedia (Feb. 6th 2020)
Country Total Deaths Total Infected
United States 463090 27054709
India 154823 10802591
Brazil 230127 9449088
Russia 76229 3951233
United Kingdom 124419 4213343
France 88444 3882408
Spain 71138 3149012
Mexico 190357 2125866

Trulli
Trulli
Trulli

RESULTS:

  • Wikipedia does not have a similar level of popularity compared to the traditional websites like the JHU one as the top 1000 popular articles in the Wikipedia coronavirus project.
  • The contents provided by the website, according to our word clouds and topic models, are similar however the WHO focuses more on vaccine information and distribution

  • CONCLUSION

  • Can’t conclude Wikipedia is better than John Hopkins
  • Wikipedia does have real time, reliable covid information, doesn’t mean we can generalize it for all information.
  • Considering that the top 100 editors for those 3 articles are all making up a large portion of their edit works, we cannot say that Wikipedia utilizes crowd-resourcing very well in this coronavirus project.

  • Sources