Thanks. It compares misspellings to correct spelling counterparts (anyways:anyway), so that, in itself, should account for sample size changes in Twitter. The R

Thanks. It compares misspellings to correct spelling counterparts (anyways:anyway), so that, in itself, should account for sample size changes in Twitter. The Reddit sample size (should) stay constant, as I'm grabbing /all/comments every 15 seconds, which from everything I've seen is about 3 times longer than it takes for it to turn over. I have been thinking about subreddits and hashtags, but I'm not sure what would be interesting to people and still have enough statistical significance to update every half-hour/hour. If I were going to release this on Reddit, I'd have probably arranged it as a comparison between all the major subreddits. As for hashtags, their impermanence makes them a difficult measure. I don't have the source up yet, but it's pretty simple. I just get the json output of /all/comments and get the Twitter streams for the words I'm checking with ntwitter and then do the basic math to analyze it every half hour. I render the page myself with the backlog of values and then send it updated info as I process it, so if you leave the page open, it should keep fresh.