Predicting the Turkish Elections with Twitter Data
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Predicting the Turkish Elections with Twitter Data
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Re: Predicting the Turkish Elections with Twitter Data
#2For nearly a century it was only possible to find out what the general public thinks with traditional polling, which costs thousands or even millions of dollars/euros. Since the rise of Web 2.0 Social Media analytics has been increasingly popular. A lot has been said about the predictive power of Twitter so far. According to some people you should be able to predict flu epidemics, unemployment and even riots/revolutions. What about Elections?
I have tried to predict the outcome of Turkish General elections of 1 November 2015 using Twitter data and I believe I will be able to predict quiete accurately. Within a few percent.
Re: Predicting the Turkish Elections with Twitter Data
#3Looks like a interesting but difficult project. From the article:
> The question then is to what extent the content of Twitter is representative of voting behaviour and how accurately we can predict the results of an election with Twitter data.
Some demographics (young? city?) are overrepresented than others (old? farms?). In some cases, it's cool to vote publically for a party, so the people is more eager to say it publically or directly lie in the tweets. In other cases, people is afraid to say publically that they will vote for a party ...
I think you will need many magical constants that are not available until you have 3 or 4 previous elections to fit the data.
Can you make a prediction for each province / state?
Good look, and post the progress and predictions before the election, and a post-mortem analysis after.
Re: Predicting the Turkish Elections with Twitter Data
#4Looks like a interesting but difficult project. From the article: > The question then is to what extent the content of Twitter is representative of voting behaviour and how accurately we can predict the results of an election with Twitter data. Some demographics (young? city?) are overrepresented than others (old? farms?). In some cases, it's cool to vote publically for a party, so the people is more eager to say it…
yes I believe that some parties will be overrepresented if you solely look at the volume of tweets. This is simply due to the fact that Twitter in Turkey is more popular under young and educated people(1). It should however not be difficult to take this into account in the linear regression algorithm, because the tuning parameters can be determined with data from the previous elections.
I had made an prediction for each province after initially collecting all the tweets, but the results were not accurate. At the moment I have also determined the location of about 33% of the twitter accounts and I hope the result will be better if I exclude all Twitterers which are not from the same province as the one I am doing the calculation on.
Thanks for the feedback :)
(1) http://webrazzi.com/2014/07/17/genart-ve-nielsenin-turkiyede...
Re: Predicting the Turkish Elections with Twitter Data
#5Looks like a interesting but difficult project. From the article: > The question then is to what extent the content of Twitter is representative of voting behaviour and how accurately we can predict the results of an election with Twitter data. Some demographics (young? city?) are overrepresented than others (old? farms?). In some cases, it's cool to vote publically for a party, so the people is more eager to say it…
I dont see why people would lie on twitter, instead of simply not tweeting...
Re: Predicting the Turkish Elections with Twitter Data
#6yes this looks interesting. It seems quite difficult to capture all the relevant terms in order to extract the holy formula within the boundaries of the twitter stuff. but if you can predict the election within a confidence bound of up to 7.43% I would say you have done a tremendous job and lives can be saved.
Re: Predicting the Turkish Elections with Twitter Data
#7yes this looks interesting. It seems quite difficult to capture all the relevant terms in order to extract the holy formula within the boundaries of the twitter stuff. but if you can predict the election within a confidence bound of up to 7.43% I would say you have done a tremendous job and lives can be saved.
Where does the number of 7.43 % come from?