000			01658nam a22001817a 4500
999			_c25572 _d25572
020			_a9781472466662
082			_a324.90028557 _bCER-P
100			_aCeron, Andrea
100			_aCurrini, Luige
100			_aIacus, Stefano M.
245			_aPolitics and Big Data _b: nowcasting and forecasting elections with social media
260			_aLondon _bRoutledge _c2017
300			_aix, 178p.
504			_aInclude Index
520			_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.
650			_aPolitical Process _vBig data--Political aspects _vSocial media--Political aspects _vElection forecasting
942			_2ddc _cBK