Personal Website for Tom Hayden

Twitter Predictor

One of my colleagues in my lab here sent me a link to this paper, by Sitaram Asur and Bernardo Huberman at HP – Predicting the Future with Social Media (PDF). I’m not sure if this was published in any conference proceeding or a journal. Either way, their findings are really cool.

They take data collected from the Twitter Search API and extract data about 24 big Hollywood films — i.e. how many times people talk about the movie, post a link to the film’s website, etc.  Then, they take this data and compare it to data from the Hollywood Exchange and the box office returns.  They show that Twitter chatter is a tremendously accurate predictor (R^2>.90) for the box office returns. Even better, they show that for the films they selected it is a better predictor than the Hollywood Exchange.  They expand on their findings by considering the “sentiment” of the tweets and show that this is also a significant indicator of week 2 movie success. The twitter chatter is a good analog to traditional word-of-mouth marketing.

This is the first quantitative finding that I’ve seen that shows a social network is a good indicator of some product’s success. There are lots of business books out there claiming that viral and social marketing is going to revolutionize the world.  The general interpretation seems to be: if we plaster our product all over social networks than this automatically equates to higher profit. The above findings show that this is generally not always the case; social networks are more of a conduit for traditional word-of-mouth advertising. Simply just plastering social networks with your promotional material does not appear to be a good predictor of your early performance.  Furthermore, if people think your product sucks, negative sentiment among the social network users does translate to poor performance later on.   So, I guess it still pays to make a good product, rather than unnecessarily spending money advertising your promotional material on social networks.

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2 Responses to “Twitter Predictor”

  1. Tweets that mention TomHayden3.com -- Topsy.com Says:

    [...] This post was mentioned on Twitter by Tom Hayden. Tom Hayden said: New blog post: Social Networks as Predictors? http://www.tomhayden3.com/blog/?p=132 [...]

  2. Jim McGaw Says:

    Wow…some mind-blowing stuff on this site, Tom! This was a really interesting post; I’ll have to delve into that PDF you linked to. I had heard of the HSX before, and read about how “the wisdom of the crowds” tends to be a really good predictor of a movie’s box office success. But the HSX uses market forces to drive results. The fact that Twitter aggregated comments belie a better predictor has interesting implications. Thanks very much for sharing.

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My Blog - I finally gave in and created a blog where I can post about whatever I like.

My Professional CV - This site has all of the relevant professional links about me; go here if you're interested in my academics.

Fun SI Projects Using Bidding Networks to Search for Exposure in Auctions - Auction 73 Case - This is some work I did in Fall 2008, as a final project for my Networks course at SI. I'm currently trying to see if this is publishable.

Technological Diffusion with Compatibility - This is based off of a model presented at one of Umichigan's STIET lectures this year.