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. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: Drug Alcohol Depend. 2018 Oct 4;193:75–82. doi: 10.1016/j.drugalcdep.2018.08.021

Table 2:

Twitter posts (i.e., tweets) were coded for alcohol-related terms and emojis.

Proportions, numbers, and users of alcohol-related terms/emojis in tweets are listed below in the following tabulation:

Term Number of Tweets Percentage of Tweets (%) Unique Users Proportion of Users (%)
drunk 790 0.234 98 52.69
drink 671 0.199 117 62.90
drinking 356 0.105 92 49.46
beer 280 0.083 72 38.71
bar 223 0.066 85 45.70
shots 214 0.063 80 43.01
alcohol 185 0.055 58 31.18
wine 169 0.050 51 27.42
vodka 111 0.033 49 26.34
wasted 107 0.032 63 33.87
liquor 74 0.022 33 17.74
hangover 65 0.019 36 19.35
hungover 46 0.014 25 13.44
tequila 43 0.013 25 13.44
whiskey 43 0.013 12 6.45
pregame 30 0.009 22 11.83
tipsy 26 0.008 20 10.75
booze 20 0.006 14 7.53
cocktail 12 0.003 10 5.38
Emoji Number of Tweets Percentage of Tweets (%) Unique Users Proportion of Users (%)
clinking beer mugs 145 0.043 39 20.97
beer mug 39 0.012 26 13.98
wine glass 39 0.012 21 11.29
tropical drink 37 0.011 25 13.44
cocktail glass 21 0.006 16 8.60