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The linguistic analysis engine behind TweetPsych has given me a bunch of cool data points to analyze, so I’ve begun to look at various factors and their relationship with follower counts. Using a database of over 30,000 accounts that have been analyzed with TweetPsych, the first dimension I’ve looked at is “Social Behavior”.
The “Social Behavior” category includes inclusive language like “we” and “you”, as well as language that describes relationships and communication. As it turns out, accounts with more followers, tended to be using more social language.
Over the next week or two, I’ll be posting about the rest of the dimensions TweetPsych analyzes and how they’re related to follower numbers, so stay tuned.
If you like this post, or any of my work, please, nominate me for a Shorty Award.