| 000 -LEADER |
|---|
| fixed length control field |
01658nam a22001817a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
9781472466662 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
324.90028557 |
| Item number |
CER-P |
| 100 ## - MAIN ENTRY--AUTHOR NAME |
|---|
| Personal name |
Ceron, Andrea |
| 100 ## - MAIN ENTRY--AUTHOR NAME |
|---|
| Personal name |
Currini, Luige |
| 100 ## - MAIN ENTRY--AUTHOR NAME |
|---|
| Personal name |
Iacus, Stefano M. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Politics and Big Data |
| Sub Title |
: nowcasting and forecasting elections with social media |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication |
London |
| Name of publisher |
Routledge |
| Year of publication |
2017 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Number of Pages |
ix, 178p. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Include Index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Political Process |
| Form subdivision |
Big data--Political aspects |
| -- |
Social media--Political aspects |
| -- |
Election forecasting |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
