Twitter study, includes the Tweets between the day first COVID-19 case detected from Whuan on 31st Dec 2019, till 15th March 2020. We did twitter mining based on this dates for the study.
Source: PNGKey
Objective of this study is to do analysis on official twitter account from top countries health department and WHO twitter account on COVID-19 breakout since 31st Dec 2019 in Wuhan, China. We analysized which countries health departments are most active in this war against pandemic.
- Set Twitter API
- Use personal API and codes for tweet mining.
- Identify the countries official Health Department accunts on twitter
- Collect Tweets from 01/01/2020 to 15/03/2020
- Analysis on ReTweets and Active official accounts
- Analysis of frequently of words in tweets
- Combine data results and conclusion.
For the data, we turned to twitter API. Here, we targeted the important health department in countries and their official Twitter account. Twitter official accounts,
- World Health Organization: @WHO - India: Ministry of Health: @MoHFW_INDIA - The USA: TheU.S. Department of Health and Human Services: @HHSGov - UK: Department ofHealth and Social Care: @DHSCgovuk - Australia:Australian Government Department of Health: @healthgovau
For the analysis, we collected the tweets from the respectedoffice health accounts from 31st Dec 2019 till 15th March2020.
## @WHO
tweetWHO1 = searchTwitter('from:@WHO', 2000, lang = 'en', since = '2020-01-01', until = '2020-03-15')
tweetWHO1 = do.call('rbind', lapply(tweetWHO1, as.data.frame))
View(tweetWHO1)
F0r Study purpose we focused only on ReTweets, however,
> head(tweetWHO1)
text
1 During times of stress and crisis, it is common for children to seek more attachment and be more demanding on paren… https://t.co/ttY5e8BS8L
2 We thank our 6 million followers for their trust and support to provide the world with accurate health information.… https://t.co/DGuhFme9Rq
3 RT @Refugees: "What are we doing to help refugees avoid the #coronavirus?"\n“Will people fleeing war still be able to cross borders?” \n“Coul…
4 RT @DrTedros: You do a heroic job. We know that this crisis is putting a huge burden on you and your families. We know you are stretched to…
5 RT @DrTedros: I want to send a personal and sincere thank you to every health worker around the world – especially nurses and midwives, who…
6 RT @DrTedros: Appreciated the chance to talk with @MattHancock today about #COVID19 in the <U+0001F1EC><U+0001F1E7>. @WHO is committed to working with the govern…
favorited favoriteCount replyToSN created truncated
1 FALSE 1414 WHO 2020-03-14 23:26:27 TRUE
2 FALSE 4675 <NA> 2020-03-14 23:12:56 TRUE
3 FALSE 0 <NA> 2020-03-14 23:10:57 FALSE
4 FALSE 0 <NA> 2020-03-14 23:10:33 FALSE
5 FALSE 0 <NA> 2020-03-14 23:10:30 FALSE
6 FALSE 0 <NA> 2020-03-14 23:10:12 FALSE
replyToSID id replyToUID
1 1238962852024717318 1238969771808432129 14499829
2 <NA> 1238966369477169153 <NA>
3 <NA> 1238965873932722176 <NA>
4 <NA> 1238965769611984897 <NA>
5 <NA> 1238965760455835658 <NA>
6 <NA> 1238965683158990848 <NA>
statusSource
1 <a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>
2 <a href="https://mobile.twitter.com" rel="nofollow">Twitter Web App</a>
3 <a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>
4 <a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>
5 <a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>
6 <a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>
screenName retweetCount isRetweet retweeted longitude latitude
1 WHO 831 FALSE FALSE NA NA
2 WHO 960 FALSE FALSE NA NA
3 WHO 1027 TRUE FALSE NA NA
4 WHO 445 TRUE FALSE NA NA
5 WHO 822 TRUE FALSE NA NA
6 WHO 132 TRUE FALSE NA NA
Similarly, we did for all the official twitter heal account from India, the US, UK and Australia.
Note: GitUploaded data and Study us diffrent.