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Focusing on the role of social media in electoral campaigns, the authors conduct a meta-analysis to identify conditions that enhance the accuracy of social media-based electoral forecasts. By examining case studies from France, Italy, and the United States, they illustrate the effectiveness of 'Sentiment Analysis' in predicting electoral outcomes, highlighting its superior accuracy compared to traditional methods. This exploration reveals critical insights into the intersection of technology and political forecasting.
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Politics and Big Data, Luigi Curini, Andrea Ceron, Stefano Maria Iacus
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- Pubblicato
- 2017
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