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How do the different communities talk?

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programming-language-subreddits-and-their-choice-of-words's People

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programming-language-subreddits-and-their-choice-of-words's Issues

A request for more details...

Could you create a new graph that show who is liking/hating on who? I'd be interested in which community is the most tolerant.

Normalize keyword representation

Hey, the graphs look great but a suggestion to increase readability and interpretation is to normalize the population graphs by % rather than count. This will show representation of the keyword over the community size since the graph over-visualizes the population size. Basically, divide the count of a single term with how many total terms there are: each bar will then be proportional to each other and we will be able to see whether one community, in general, uses one word more than another. This can make the graph easier to digest since not all communities are equal in size on reddit.

Another representation graph can show the "versus" of positive words and negative words, to demonstrate which community uses this more than the other.

Thanks!

Conjecture is not actually confirmed.

This part here is quite comforting, because a conjecture many of us probably have is confirmed.

There's a false assumption in this statement, in that usage of swear words is somehow indicative of the quality of the language or professionalism of its users.

  1. Programmers tend to swear more in public spaces than the general population, particularly in environments where discussion of real world problems and code are prevalent. See the Linux mailing list for a prominent example.
  2. /r/php is heavily weighted towards discussions of real world usage and troubleshooting despite the constant reminders that it is not a support subreddit, as well as discussions regarding future directions of the language itself and an innumerable number of frameworks and design patterns that are constantly being compared.
  3. The conjecture linked to is itself extensively flawed, where the author misunderstands a number of implementation details, constantly sets up straw men arguments, and overlooks or downplays a number of language strengths in favor of a clearly biased viewpoint misconstrued as being fair-minded.

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