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. 2017 Jan;107(1):e1–e8. doi: 10.2105/AJPH.2016.303512

TABLE 1—

Frequency of Use of Different Metadata Elements That Can Be Extracted From Twitter in Included Articles: 2010–2015

Data Articles, No. (%)
Explicit data about user
 Twitter handle 6 (4)
 Language 0 (0)
 Time zone 4 (3)
 Location 12 (9)
 Date account created 5 (4)
 User profile (free text) 5 (4)
 User profile photo 2 (1)
 Total number of tweets 11 (8)
 Number of followers 26 (19)
 Number following 6 (4)
Extractable data about user
 Age 1 (1)
 Gender 5 (4)
 Marital status 1 (1)
 Political party 0 (0)
 Race/ethnicity 1 (1)
 Occupation 5 (4)
 Interests 0 (0)
 Religion 0 (0)
 Income 1 (1)
 Mood 1 (1)
 Disease state 5 (4)
 Network 5 (4)
Explicit data from tweet
 140 characters 112 (82)
 #hashtag 13 (9)
 URL 6 (4)
 Geotag 28 (20)
 Application used to send tweet 2 (1)
 Number of retweets 12 (9)
 Number of favorites 1 (1)
 Linked images 2 (1)
 User mentions 3 (2)
 Time and date of tweet 19 (14)
Extractable data about tweet
 Content 77 (55)
 Sentiment 21 (15)
 Image analysis 1 (1)
 Language 4 (3)

Note. URL = uniform resource locator.