Using sentiment analysis to monitor electoral campaigns: method Matters--Evidence from the United States and Italy
Articolo
Data di Pubblicazione:
2015
Citazione:
Using sentiment analysis to monitor electoral campaigns: method Matters--Evidence from the United States and Italy / A. Ceron, L. Curini, S.M. Iacus. - In: SOCIAL SCIENCE COMPUTER REVIEW. - ISSN 0894-4393. - 33:1(2015), pp. 3-20. [10.1177/0894439314521983]
Abstract:
In recent years, there has been an increasing attention in the literature on the possibility of analyzing social media as a useful complement to traditional off-line polls to monitor an electoral campaign. Some scholars claim that by doing so, we can also produce a forecast of the result. Relying on a proper methodology for sentiment analysis remains a crucial issue in this respect. In this work, we apply the supervised method proposed by Hopkins and King to analyze the voting intention of Twitter users in the United States (for the 2012 Presidential election) and Italy (for the two rounds of the centre-left 2012 primaries). This methodology presents two crucial advantages compared to traditionally employed alternatives: a better interpretation of the texts and more reliable aggregate results. Our analysis shows a remarkable ability of Twitter to “nowcast” as well as to forecast electoral results.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
sentiment analysis; text mining; text analytics; social media; electoral forecast
Elenco autori:
A. Ceron, L. Curini, S.M. Iacus
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