Skip to main content

University of Cambridge's Facebook Research

University of Cambridge's Psychometric Center has used statistics to make make personality predictions based upon an individual's Facebook "likes".

For instance, your likes can be used to create your Big Five personality trait profile. Your students can have their data FB "likes" analyzed at YouAreWhatYouLike.com as to determine their Big Five traits. After your students complete the FB version of the scale, you could have your students complete a more traditional paper and pencil version of the inventory and discuss differences/similarities/concurrent validity between the two measures. Below, I've included a screen grab of my FB-derived Big Five rating from YouAreWhatYouLike.com. Note: Yes, that is how I score on more traditional versions of the same scale.

Generated at YouAreWhatYouLike.com


In addition to Big Five prediction, the researchers also used the "like" data to make predictions of other qualities, like sexual orientation, intelligence, etc., based upon what you have liked on FB. Highlights: Liking curly fries is related to high intelligence, liking fan fiction with introversion, and a fondness for Timmy from South Park seems to be related with competitiveness.

And...if you register as a collaborator at the UofC website, you can access some of their data. Which is pretty generous, I think.

Here is the information regarding the data from the actual source.

Comments

  1. Just saw Rob McEntarffer's post on the High School Psych Blog for your blog- I LOVE YOUR WEBSITE! Is this "Big Five" prediction off of Facebook an example of "predictive" and/or "criterion" validity? My results were fairly close with NEO-PI Big Five test from Penn State! I actually preferred my Facebook prediction from "YouAreWhatYouLike": It seems I am more "open" - even "imaginative" whereas my Big Five results said "open," but that I did not have a "vivid imagination." What an interesting discussion this could make in the classroom! Is Facebook used to project the person we want to be? Is it an accurate portrayal of our real-self? Does "YouAreWhatYouLike" have predictive validity? WOW! Thanks

    ReplyDelete
    Replies
    1. Great ideas, mvita! I'm a social psychologist, so as I reflect upon your response, I think of impression management theory and how I could use this in my social psychology class. I hope that you have a great Fall Semester!

      Delete

Post a Comment

Popular posts from this blog

Ways to use funny meme scales in your stats classes

Have you ever heard of the theory that there are multiple people worldwide thinking about the same novel thing at the same time? It is the multiple discovery hypothesis of invention . Like, multiple great minds around the world were working on calculus at the same time. Well, I think a bunch of super-duper psychology professors were all thinking about scale memes and pedagogy at the same time. Clearly, this is just as impressive as calculus. Who were some of these great minds? 1) Dr.  Molly Metz maintains a curated list of hilarious "How you doing?" scales.  2) Dr. Esther Lindenström posted about using these scales as student check-ins. 3) I was working on a blog post about using such scales to teach the basics of variables.  So, I decided to create a post about three ways to use these scales in your stats classes:  1) Teaching the basics of variables. 2) Nominal vs. ordinal scales.  3) Daily check-in with your students.  1. Teach your students the basics...

Leo DiCaprio Romantic Age Gap Data: UPDATE

Does anyone else teach correlation and regression together at the end of the semester? Here is a treat for you: Updated data on Leonardo DiCaprio, his age, and his romantic partner's age when they started dating. A few years ago, there was a dust-up when a clever Redditor r/TrustLittleBrother realized that DiCaprio had never dated anyone over 25. I blogged about this when it happened. But the old data was from 2022. Inspired by this sleuthing,  I created a wee data set, including up-to-date information on his current relationship with Vittoria Ceretti, so your students can suss out the patterns that exist in this data.

If your students get the joke, they get statistics.

Gleaned from multiple sources (FB, Pinterest, Twitter, none of these belong to me, etc.). Remember, if your students can explain why a stats funny is funny, they are demonstrating statistical knowledge. I like to ask students to explain the humor in such examples for extra credit points (see below for an example from my FA14 final exam). Using xkcd.com for bonus points/assessing if students understand that correlation =/= causation What are the numerical thresholds for probability?  How does this refer to alpha? What type of error is being described, Type I or Type II? What measure of central tendency is being described? Dilbert: http://search.dilbert.com/comic/Kill%20Anyone Sampling, CLT http://foulmouthedbaker.com/2013/10/03/graphs-belong-on-cakes/ Because control vs. sample, standard deviations, normal curves. Also,"skewed" pun. If you go to the original website , the story behind this cakes has to do w...