Using Twitter Data To Approximate a Telephone Survey
cremeglace writes "A team led by a computer scientist at Carnegie Mellon University has used text-analysis software to detect tweets pertaining to various issues — such as whether President Barack Obama is doing a good job — and measure the frequency of positive or negative words ranging from 'awesome' to 'sucks.' The results were surprisingly similar to traditional surveys. For example, the ratio of Twitter posts expressing either positive or negative sentiments about President Obama produced a 'job approval rating' that closely tracked the big Gallup daily poll across 2009. The analysis also produced classic economic indicators like consumer confidence." By averaging several days' worth of tweets on presidential job approval, the researchers got results that correlated 79% with daily Gallup polling. Lead researcher Noah Smith said, "The results are noisy, as are the results of polls. Opinion pollsters have learned to compensate for these distortions, while we're still trying to identify and understand the noise in our data. Given that, I'm excited that we get any signal at all from social media that correlates with the polls." Here is CMU's press release.
It seems that the age demographics of twitter users wouldn't be very representative of the population as a whole.
I'm guessing it will take no more than a month for a combination of "conservative" and "progressive" blogs to rev up their teams of dittoheads to start flooding Twitter with politically themed messages, thus totally skewing the results. Same principle as Google-bombing, I guess. As someone who already views Twitter as almost entirely content-free, I can't say I'm particularly dismayed by this possibility. . . but anything that encourages the self-absorbed political zealots of this country can't possibly be good.
The noise coming from one group of twits is the same as the noise coming from another group of twits.
Film at 11.
Science advances one funeral at a time- Max Planck
As someone who spends a lot of their time working to uncover endogeneities in statistical analysis, I feel that analyzing Tweets will never be a viable measure of general American opinions.
Remember when The Literary Digest predicted Alf Landon would crush FDR in the 1936 presidential election based on a poll of its subscribers? Okay, you don't *remember* that, but you've probably heard of it. Same problem here.
The readers of Literary Digest were not representative of the average American in 1936.
The users of Twitter are not representative of the average American in 2010.
Twitter polling is no better than straw polling, which is usually worse than nothing.