A meta-analysis of state-of-the-art electoral prediction from Twitter data

@article{GayoAvello2013AMO,
  title={A meta-analysis of state-of-the-art electoral prediction from Twitter data},
  author={Daniel Gayo-Avello},
  journal={CoRR},
  year={2013},
  volume={abs/1206.5851}
}
Electoral prediction from Twitter data is an appealing research topic. It seems relatively straightforward and the prevailing view is overly optimistic. This is problematic because while simple approaches are assumed to be good enough, core problems are not addressed. Thus, this paper aims to (1) provide a balanced and critical review of the state of the art; (2) cast light on the presume predictive power of Twitter data; and (3) depict a roadmap to push forward the field. Hence, a scheme to… CONTINUE READING
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