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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Drug Alcohol Depend. 2016 Apr 26;164:64–70. doi: 10.1016/j.drugalcdep.2016.04.029

Table 3.

Results from the word content analysis per type of tweet and sentiment codes.

User Tweets Media tweets Retail tweets
Positive Negative Neutral
Eat (9.5%) Eat (21.6%) Eat (10.7%) Eat (22.7%) Today (9.8%)
Make (9.1%) Don’t (14.2%) Snoop (6.5%) Raid (20.8%) Free (7.7%)
Lol (4.4%) High (9.6%) Make (4.0%) Shop (12.6%) Monday (6.1%)
Good (3.8%) Time (9.6%) Time (2.6%) Cops (11.6%) Chocolate (5.3%)
Smoke (3.6%) Fuck (6.9%) Lol (2.2%) High (10.4%) THC (4.1%)