Table 1.
Drug-related keywords | Tweets sampled by keyword (n=353), n | Relevant tweets (n=249), n | Keyword sensitivitya, n (%) |
#blunt(s) | 19 | 13 | 13 (68) |
Blunt | 20 | 12 | 12 (60) |
#high | 20 | 13 | 13 (65) |
#highlife | 20 | 12 | 12 (60) |
High | 20 | 6 | 6 (30) |
#marijuana | 14 | 7 | 7 (50) |
Marijuana | 20 | 12 | 12 (60) |
#wakenbake | 16 | 9 | 9 (56) |
Ganja | 20 | 17 | 17 (85) |
Pot | 20 | 10 | 10 (50) |
Pothead | 20 | 17 | 17 (85) |
Smoke | 20 | 18 | 18 (90) |
Stoned | 20 | 17 | 17 (85) |
Stoner | 20 | 13 | 13 (65) |
#stoner | 12 | 9 | 9 (75) |
Weed | 20 | 19 | 19 (95) |
Adderall | 20 | 16 | 16 (80) |
Valium | 12 | 11 | 11 (91) |
Xanax | 20 | 18 | 18 (90) |
aKeyword sensitivity is the percentage of tweets from the total sample that were deemed relevant during manual coding.