Politics and big data : nowcasting and forecasting elections with social media / / Andrea Ceron, Luigi Curini and Stefano M. Iacus

• Autore: Ceron Andrea
• Pubblicazione: London ; ; New York : , : Routledge, , 2017
• Descrizione fisica: 1 online resource (189 pages) : illustrations
• Disciplina: 324.900285/57
• Soggetto topico: Election forecasting; Social media - Political aspects; Big data - Political aspects; Internet in political campaigns
• Altri autori: CuriniLuigi IacusStefano M (Stefano Maria)
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Social media electoral forecasts : qn overview -- From noise to signal in sentiment and opinion analysis -- Nowcasting and forecasting the campaign : evidence from France, the United States, and Italy -- Leaders, promises and negative campaigning : digging into an electoral campaign through social media -- Social media and electoral forecasts : sources of bias and meta-analysis -- Conclusion : "To predict or not to predict?" : future avenues of social media research within and beyond electoral forecasts.
• Sommario/riassunto: "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 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 '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, the United States and Italy demonstrate how much more accurate 'sentiment analysis' can prove."--
• Titolo autorizzato: Politics and big data
• ISBN: 1-317-13413-3; 1-315-58273-2; 1-317-13414-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910155247503321
• Lo trovi qui: Univ. Federico II