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Table 2 Detailed coding of type of mobility for 48 accounts identified as migrants by Modal Tweet and ResIn approach

From: Challenges when identifying migration from geo-located Twitter data

 

All accounts (N = 48)

Exclude not able to code (N = 39)

 

Modal Tweet

ResIn

Modal Tweet

ResIn

Leisure

36%

22%

46%

27%

Business

21%

28%

26%

33%

Study abroad

5%

2%

7%

2%

Migration

5%

2%

7%

2%

No mobility

12%

31%

15%

37%

Not able to code

21%

16%

  

N

58

58

46

49