Every tweet counts? How sentiment analysis of social networks can improve our knowledge of citizens’ policy preferences. An application to Italy and France
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References listed on IDEAS
- Oliver Falck & Robert Gold & Stephan Heblich, 2014.
"E-lections: Voting Behavior and the Internet,"
American Economic Review,
American Economic Association, vol. 104(7), pages 2238-2265, July.
- Falck, Oliver & Gold, Robert & Heblich, Stephan, 2012. "E-Lections: Voting Behavior and the Internet," IZA Discussion Papers 6545, Institute of Labor Economics (IZA).
- Oliver Falck & Robert Gold & Stephan Heblich, 2014. "E-lections: Voting Behavior and the Internet," Bristol Economics Discussion Papers 14/642, Department of Economics, University of Bristol, UK.
- Oliver Falck & Robert Gold & Stephan Heblich, 2012. "E-Lections: Voting Behavior and the Internet," CESifo Working Paper Series 3827, CESifo Group Munich.
- Falck, Oliver & Gold, Robert & Heblich, Stephan, 2012. "E-Lections: Voting Behavior and the Internet," Stirling Economics Discussion Papers 2012-07, University of Stirling, Division of Economics.
- Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65, pages 135-135.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Luigi Curini & Stefano Iacus & Luciano Canova, 2015. "Measuring Idiosyncratic Happiness Through the Analysis of Twitter: An Application to the Italian Case," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(2), pages 525-542, April.
More about this item
KeywordsSentiment analysis; text mining; text analytics; social media; political forecast;
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