Data Shows That Social Behavior Gets More Followers

Posted on Jan 25th, 2010 Comments
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If you like this post, or any of my work, please, nominate me for a Shorty Award.

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.

  • socialmediaexpert258
    I can understand the way you love social networking. I am a great fan of yours from now.
  • bistrobroad
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  • Sound interesting , let me try "We" and "you" and see
  • I'm not sure the spread supports this conclusion. Especially in the second half of the data.
  • Probably why no one reads that self-aggrandizing twerp Joseph Jaffe any more.
  • nic_oliver
    Hi Dan!

    An interesting case of internet coincidence as I've just blogged on the same issue, from a different perspective - the balance between the use of the first and second person when writing articles. Perhaps we could collaborate on this; the software I use allows written material to be broken down in a lot of different ways. I'm not going to spam your site with a direct link to the article; email me if you'd like to take this further
  • Dan, you have provided salient points that are very appreciated. We ought to keep the conversation going for all of us to gain benefit from this powerful social medium.
    @FeliciaGriffin1
  • This is incredibly interesting. I've been using tools like Twitalyzer to get similar information, but it's not nearly as involved as this. Have you worked with those types of groups to try and further assess the connections?

    I also wonder what the tendency is with regard to WHEN people follow and/or unfollow a person on Twitter. For example, do people tend to gain more followers when a conversation is taking place, or do people tend to unfollow at that point in time? Or do they tend to follow people that are clearly "social" but they are not being social right then - perhaps in an attempt to be noticed in-between the conversations?

    The person may have, in general, more followers if they are more conversational and "social" but I wonder if they lose followers at times when they are because those followers were expecting something different from the person and/or they were hoping to be personally engaged within a certain amount of time. I would be very interested in learning more about the psychology in those areas.
  • Very interesting graph. It'd love to see more data points if it were possible though.

    Perhaps a further analysis into how many tweets those accounts do on average to see if there is some sort of underlying theme as to the best amount of tweets and inclusion of social language.

    Chris Guthrie
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  • chrisstetson
    Dan, I noticed the same relationship between a high score on "social behavior" and the number of followers when I first tried your excellent TweetPsych tool. But then I noticed that (a) Twitter accounts writing about social media tended to score high on "social behavior" too (maybe the word "social" works as well or better than "we" and "you") and (b) those Twitter accounts (there are a lot of them) also had disproportionately high followers.

    If you exclude Twitter accounts talking about social media, I wonder how powerful the "social behavior" score is as a predictor of follower volume. TweetPsych is cool. A TweetPsych that allowed one to control for topic matter would be even cooler.
  • Dan, Great graph... I hope that one day we will get to see a break down of a ton more language. This is a pretty cool tool.
  • Hi Dan,

    Does it break it out by nouns & verbs?

    I'd be interested to see if 'commands', instructions & other such constructs have higher clickthrus.
  • Wow - thank you for introducing me to the RID. Having problems finding the complete list of the words but hey, it's 2010. It should be out there. Somewhere.
  • Let's do the reverse experiment and use lots of corporate speak and buzzwords and watch the chart take a nose dive!
  • Awesome graph Dan! I talk about engagement a lot and using social media to primarily build relationships and this just goes further to show that it does make a difference.
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