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Tech Friday, March 15th 2013 at 2:20 pm

New Study Shows How We Divide Ourselves Into Twitter “Tribes”

As humans, we tend to stay in groups, and those groups tend to be similar to us. We surround ourselves with people who look like us, act like us, or have similar interests as us. That behavior also follows us online, and a new study shows how we as humans break ourselves up into tribe-like groups on social media sites. That’s not too surprising, but the study also looks at we do it, and that’s fascinating.

The study was done through a collaboration between Royal Holloway University and Princeton University, and was just published in the EPJ Data Science journal. The central theme of the study is that we form ourselves into group on sites like Twitter based around one commonality we share with others.

That makes sense. As a blogger, I follow and am followed by other bloggers, and the same is true as a comedian. Each of these groups develop their own distinct languages, the study says. Dr. John Bryden from the School of Biological Sciences at Royal Holloway says that it’s language that makes it possible to predict what group a person falls into based on their language.

Brysen said:

We searched for unusual words that are used a lot by one community, but relatively infrequently by the others. For example, one community often mentioned Justin Bieber, while another talked about President Obama.

Speaking of Justin Bieber, Bryden’s colleague Professor Vincent Jansen also from Royal Holloway compared the language people use in these online groups to regional accents, pointing out that Bieber fans tend to make the same spelling errors by ending words in “ee” like “pleasee”. Alternatively, school teachers tend to use long words in their online correspondence.

The team that published the study even mapped some of these groups, showing the commonality between them. These included jobs, interests, ethnicity, and political views. To team used advanced algorithms from the worlds of physics and network science to compile the data into groups by examining users who send messages to one another within a community.

It’s interesting to think about how, as the Internet lets us communicate with almost anyone in the world, we’re using it to communicate mostly with people like ourselves.

(EPJ Data Science via Phys Org, image my own)

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  • Jack Bond

    So by instinct we stick to things that are like us… Yet evolution says diversification is the goal, and evolution dictates our instincts… Hmmmm…

  • Idlethoughts

    Your really reaching for straws these days, aren’t you?

  • Jack Bond

    I’m not going to honor empty insults. If you can, explain why this is not a contradiction or kindly mind your own business.

  • Idlethoughts

    Natural selection favors diversification because it produces new traits which can be good for adaption.
    You based the other hypothesis on a twitter behavioral study, not even a general behavioral study a freaking twitter study. Thats just stupid.
    But let me humor the idea anyways, by the principle of “the selfish gene” organisms should be encouraged to help those bearing more genes like there own over those who have less, therefore we stick to things like us and mate with successful members. No evolutionary contradiction here.

    By the way I’m not wasting much more effort than that, you already got more than you deserved.

  • Jack Bond

    See? That’s all I wanted to know. I could probably find something in that answer to further question, but I think you’ve explained quite well.

  • Idlethoughts

    Your problem with evolution has nothing to do with unanswered questions, it stems from an unwillingness to alter your beliefs when they conflict with reality. I think you demonstrated that well enough on this site already.

  • Jack Bond

    Not true. You gave me your answer and I accepted it. Now I am better informed thanks to you.