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Country subreddits and their choice of words

Globalisation and the internet bring everybody together, but cultural differences between the countries remain. Let’s see if we can find some of them in the choice of words of subreddits.

About 660k randomly chosen comments to about 30k submissions from 2013-08 to 2014-07 on /r/australia, /r/canada, /r/china, /r/germany, /r/india, /r/ireland, /r/japan, /r/scotland and /r/unitedkingdom were collected and analysed for frequency of specific words and phrases.

Climate

A classical conversation starter used in small talk is babbling about the weather. So we also start with this packed into one graph with climate, even though they are not the same.

The people in /r/australia seem to be most concerned with this. One could have expected this, since they might feel the consequences of climate change and the ozone hole the most right now.

climate

climate

Cursing

Nevertheless they are only on place two regarding the amount of swear words they use. r/china wins this title, while the /r/germany is very civilized in this aspect.

cursing

cursing

Money

/r/canada and r/australia lead this category,

money

money

while for example /r/japan seems to have other things to talk about. Perhaps their culture?

Culture

Indeed. Together with the other Asian subreddit and germany they lead here, while r/raustralia talks the least about language and culture

culture

culture

Happiness

Users in /r/germany express their happiness the most. Does it perhaps have something to do with …

happiness

happiness

Beer

… their beer? The people in the German subreddit talk about it way more than everybody else.

beer

beer

Politeness phrases

Not the british but /r/germany and /r/japan lead here.

politeness

politeness

Mutual mentions

/r/japan and /r/china talk a lot about each others countries. Otherwise this graph is quite balanced, except small abnormality like r/canada talking much more about India than vice versa and scotland talking very much about their “container”, the UK.

mutual_mentions

(Click here for the interactive version and an explanation for this diagram type.)

That’s it. If you want to you can download the raw data all these diagrams are based on.