01605nam a22001577a 4500020001800000082002400018100005400042100001900096100002200115245009300137260003800230300001400268504001800282520104100300650010601341  a9781472466662  a324.90028557bCER-P  aCeron, Andrea                                      aCurrini, Luige  aIacus, Stefano M.  aPolitics and Big Datab: nowcasting and forecasting elections with social media           aLondon         bRoutledgec2017   aix, 178p.  aInclude Index  aThe 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.  aPolitical ProcessvBig data--Political aspectsvSocial media--Political aspectsvElection forecasting