01658nam a22001817a 4500 25572 25572 9781472466662 324.90028557 CER-P Ceron, Andrea Currini, Luige Iacus, Stefano M. Politics and Big Data : nowcasting and forecasting elections with social media London Routledge 2017 ix, 178p. Include Index 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. Political Process Big data--Political aspects Social media--Political aspects Election forecasting ddc BK 0 0 0 0 NASSDOC NASSDOC 2019-03-25 OP 2019-03-25 0 324.90028557 CER-P 50308 2019-08-30 00:00:00 2019-03-25 BK