Politics and Big Data : nowcasting and forecasting elections with social media
By: Ceron, Andrea | Currini, Luige | Iacus, Stefano M.
Publisher: London Routledge 2017Description: ix, 178p.ISBN: 9781472466662.Subject(s): Political Process -- Big data--Political aspects -- Social media--Political aspects -- Election forecastingDDC classification: 324.90028557 Summary: The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to and monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections this book assesses its achievements and limitations while presenting a new technique of a Sentiment Analysis to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, Italy and the United States demonstrate how much more accurate a Sentiment Analysis can prove.| Item type | Current location | Call number | Status | Date due | Barcode |
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NASSDOC Library | 324.90028557 CER-P (Browse shelf) | Available | 50308 |
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| 324.65 SHU-V Votes from seats | 324.73 PEN-C Citizen marketer | 324.730973 MUT-I In-your-face Politics | 324.90028557 CER-P Politics and Big Data | 324.941 POL- Political communication in Britain: polling, campaigning and media in the 2015 General Election | 324.952 JAP; Japanese voter | 324.954 CHA-W Winning the mandate: the Indian experience |
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The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to and monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections this book assesses its achievements and limitations while presenting a new technique of a Sentiment Analysis to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, Italy and the United States demonstrate how much more accurate a Sentiment Analysis can prove.
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