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What the Little Bird Told Me About You: Three Twitter Apps for Psych Analysis

Written by Jolie O'Dell / June 14, 2009 9:52 PM / 22 Comments

Tomorrow morning, social media and marketing researcher Dan Zarrella is debuting a new way to see into the minds of Twitter users by analyzing their most recent 1,000 tweets.

TweetPsych uses two linguistic analysis methods to build a psychological profile of a person based on the content of their tweets. It compares the content of a user's tweets to a baseline reading Zarella built by analyzing over 1.5 million random tweets and shows the areas where that user stands out. It also reminded us of two other fascinating apps that show how long a user has been on Twitter and with whom they hold most of their @reply conversations. Being socially minded journalists, we've made bookmarklets for all three services.

Zarrella wrote in an email tonight that he used RID (Regressive Imagery Dictionary) and LIWC (Linguistic Inquiry and Word Count) to parse the data. RID is a text analysis tool composed of more than 3,000 words from 43 categories of cognition and emotion. LIWC is a text analysis software program that calculates the degree to which people use different categories of words in emails, speeches, poems, or transcribed daily speech. The program considers positive and negative emotion words, self-references, and words that refer to sex, eating, or religion.

Profiles with updates that are protected cannot be analyzed by TweetPsych.

Let's take a look inside the mind of a few Twitter users. Most of the social media elite tend to have fairly impersonal tweets; hence, their TweetPsych profiles are relatively homogeneous catalogs of upward mobility, obsession with professional affairs, and moral imperativism. Here's a profile of a photographer/mother/homemaker/blogger in Georgia:

In marked contrast, here's a 20-something, male entrepreneur in Virginia:

We thought TweetPsych was so nifty that we, a.k.a. Marshall Kirkpatrick, made a bookmarklet. Drag the text TweetPsych into your browser's bookmar bar, visit a Twitter profile, then click the bookmarket to see an analysis of a Twitter user's profile.

Other tweet-analyzing apps we love are Mailana, which shows Twitter conversations and links between different users within and beyond a given user's network, and WhenDidYouJoinTwitter, which shows the date a user joined Twitter (or the date the user implemented the most recent iteration of his username). The WhenDidYouJoinTwitter bookmarklet is also available at that link.

Here's Mailana at work:

This app is particularly good at showing the hubs or connectors in your network, and can also be useful for making new connections with other users. You can use the Mailana bookmarklet on any Twitter profile.

Best of all, try out Marshall's 3-in-1 bookmarklet LittleBirdie to see what each of these apps finds from the Twitter users you love best. Simply drag the text link into your browser's bookmarks bar, visit a Twitter profile, and start analyzing/judging the heck out or everyone you do (and don't) know.


Comments

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  1. Great post. thanks

    Posted by: dass | June 14, 2009 11:16 PM



  2. Thanks for this post @rww.

    I guess, everyone really have to be careful what they tweet about as every single tweet is a culmination of the whole total you, your personalities, your profile and your life.


    cheers,
    Armand
    @ArmandAguillon

     Posted by: Armand Author Profile Page | June 14, 2009 11:44 PM



  3. Love it! I'm new here but couldn't help but comment on this post. I'm a fan.

    Posted by: IMS | June 15, 2009 3:45 AM



  4. Doesn't work for profiles that are locked.

    Posted by: free virtual world for kids | June 15, 2009 4:38 AM



  5. Great article my friend. As always, you are a source of great information!

    I must say, I'm speechless. (but still quite capable of drinking my coffee & eating chocolate!)

    I suppose this explains my narcissism and oral fixation...

    Reading the results of TweetPsych's analysis of my profile also brought a couple of quotes to mind:

    "Four things come not back: the spoken word, the sped arrow, the past life and the neglected opportunity."

    and

    "What other people think of me is none of my business."
    Pat Parelli - natural horseman

    Posted by: betsy cañas garmon | June 15, 2009 5:12 AM



  6. It is very nice for google reader.

    Posted by: Mohamed Saibulla Haja | June 15, 2009 5:25 AM



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  8. Uh-oh..more pop psychology...just what this world (doesn't) need

    Posted by: Allen Weiss | June 15, 2009 5:53 AM



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  10. Lovely! TweetPsych is even more fun than Googling my name. But apparently my "Primordial, Conceptual and Emotional Content" includes "Regr knol timelessnes". Is this good?

    Posted by: Marcello | June 15, 2009 6:37 AM



  11. This is very cool. Thanks for an excellent article. Perhaps an approach quite a bit simpler can be also very interesting. For the example used in the write-up, please take a look at

    http://www.feeltiptop.com/from%3Awildthyme/

    where we learn that nearly half of this person's tweets are of a positive nature and that there are hardly any negative tweets. We also learn about the main concepts that recur in their tweets. We also learn the main categories to which their tweets belong.

    The insights presented there are direct and hence quite actionable. You can see exactly why something is what it is. All concepts and categories are clickable.

    Posted by: Shyam Kapur | June 15, 2009 9:25 AM



  12. 3 in 1 bookmarklet for analyzing any, twitter user's history, psychology & behavior in 1 click http://bit.ly/RZXZw inc. newest @danzarrella [from http://twitter.com/marshallk/statuses/2174823743]

    Posted by: Marshall Kirkpatrick Posted on FriendFeed   | June 15, 2009 1:23 PM



  13. I analyzed myself and discovered that I have problems with instant gratification. In other words, http://tweetpsych.com/ didn't load.

    Posted by: John E. Bredehoft Posted on FriendFeed   | June 15, 2009 1:56 PM



  14. very well done.

    Posted by: Chris Posted on FriendFeed   | June 15, 2009 3:31 PM



  15. Fascinating..and a 3 in 1 bookmarklet, too! Marshall you rock.

     Posted by: Marianne Author Profile Page | June 15, 2009 5:34 PM



  16. I tried mailana.com. It's awful and inaccurate.

    Posted by: Nongling | June 25, 2009 3:31 PM



  17. This is very cool. Thanks for an excellent article. Perhaps an approach quite a bit simpler can be also very interesting. For the example used in the write-up, please take a look

    Posted by: شات | July 3, 2009 6:46 AM



  18. Its a matter of fact that Twitter has plenty of things in it, but to grab the exact knowledge and functionality you have to squeeze this lemon to take out the juice.
    So,why we dont take a chance to have this juice at http://www.feeltiptop.com !
    The fresh AI-based search engine which will answer all you curiosity and desire.

    Posted by: sudeep | July 10, 2009 7:27 AM



  19. Great article, thanks. You can also take a look at
    http://www.feeltiptop.com/

    Posted by: pradeep | July 13, 2009 3:57 AM



  20. Thanks for this

    Posted by: شات | August 6, 2009 1:17 PM



  21. Thanks for this

    Posted by: شات | August 11, 2009 10:54 PM



  22. nice share, great article, very usefull for us...thank you
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