LEADER 03254oam 2200541I 450 001 9910155247503321 005 20180409172234.0 010 $a1-317-13413-3 010 $a1-315-58273-2 010 $a1-317-13414-1 024 7 $a10.4324/9781315582733 035 $a(CKB)3710000000973631 035 $a(MiAaPQ)EBC4771772 035 $a(OCoLC)970392410 035 $a(PPN)221587268 035 $a(EXLCZ)993710000000973631 100 $a20180706d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aPolitics and big data $enowcasting and forecasting elections with social media /$fAndrea Ceron, Luigi Curini and Stefano M. Iacus 210 1$aLondon ;$aNew York :$cRoutledge,$d2017. 215 $a1 online resource (189 pages) $cillustrations 311 $a1-4724-6666-7 320 $aIncludes bibliographical references and index. 327 $aSocial 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. 330 $a"The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of 'sentiment analysis' to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, the United States and Italy demonstrate how much more accurate 'sentiment analysis' can prove."--$cProvided by publisher. 606 $aElection forecasting 606 $aSocial media$xPolitical aspects 606 $aBig data$xPolitical aspects 606 $aInternet in political campaigns 615 0$aElection forecasting. 615 0$aSocial media$xPolitical aspects. 615 0$aBig data$xPolitical aspects. 615 0$aInternet in political campaigns. 676 $a324.900285/57 700 $aCeron$b Andrea.$0480771 701 $aCurini$b Luigi$0507820 701 $aIacus$b Stefano M$g(Stefano Maria)$0874215 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155247503321 996 $aPolitics and big data$92002098 997 $aUNINA