• Corpus ID: 542269

"I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" - A Balanced Survey on Election Prediction using Twitter Data

@article{GayoAvello2012IWT,
  title={"I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" - A Balanced Survey on Election Prediction using Twitter Data},
  author={Daniel Gayo-Avello},
  journal={ArXiv},
  year={2012},
  volume={abs/1204.6441}
}
Predicting X from Twitter is a popular fad within the Twitter research subculture. [] Key Result From this review it can be concluded that the predictive power of Twitter regarding elections has been greatly exaggerated, and that hard research problems still lie ahead.
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References

SHOWING 1-10 OF 29 REFERENCES
Tweets and Votes: A Study of the 2011 Singapore General Election
TLDR
It is found that during the elections the Twitter sphere represents a rich source of data for gauging public opinion and that the frequency of tweets mentioning names of political parties, political candidates and contested constituencies could be used to make predictions about the share of votes at the national level, although the accuracy of the predictions was significantly lower that in the studies done in Germany and the UK.
On Using Twitter to Monitor Political Sentiment and Predict Election Results
The body of content available on Twitter undoubtedly contains a diverse range of political insight and commentary. But, to what extent is this representative of an electorate? Can we model political
The Party Is Over Here: Structure and Content in the 2010 Election
TLDR
This work studies the use of Twitter by House, Senate and gubernatorial candidates during the midterm (2010) elections in the U.S, and suggests conservative candidates used this medium more effectively, conveying a coherent message and maintaining a dense graph of connections.
Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
TLDR
It is found that the mere number of messages mentioning a party reflects the election result, and joint mentions of two parties are in line with real world political ties and coalitions.
Political Polarization on Twitter
TLDR
It is demonstrated that the network of political retweets exhibits a highly segregated partisan structure, with extremely limited connectivity between left- and right-leaning users, and surprisingly this is not the case for the user-to-user mention network, which is dominated by a single politically heterogeneous cluster of users.
Predicting the Political Alignment of Twitter Users
TLDR
Several methods for predicting the political alignment of Twitter users based on the content and structure of their political communication in the run-up to the 2010 U.S. midterm elections are described and a practical application of this machinery to web-based political advertising is outlined.
Computing political preference among twitter followers
TLDR
A novel method for computing preference among an organization's Twitter followers is presented and an application of this technique is presented to estimate political preference of the audiences of U.S. media outlets.
Information credibility on twitter
TLDR
There are measurable differences in the way messages propagate, that can be used to classify them automatically as credible or not credible, with precision and recall in the range of 70% to 80%.
Small worlds with a difference: new gatekeepers and the filtering of political information on Twitter
TLDR
It is shown that political communication on Twitter is at the same time highly dependent on a small number of users, critically positioned in the structure of the network, as well as biased by their own political perspectives.
Predicting the 2011 Dutch Senate Election Results with Twitter
TLDR
By improving the quality of the document collection and by performing sentiment analysis, predictions based on entity counts in tweets can be considerably improved, and become nearly as good as traditionally obtained opinion polls.
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