Using candidates’ tweets to predict an election outcome (Record no. 530348)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01755nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250610b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Afonso, Francisco Rita, Paulo and António, Nuno |
| 245 ## - TITLE STATEMENT | |
| Title | Using candidates’ tweets to predict an election outcome |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Political Research Quarterly |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 78(1), Mar, 2025: p.323-340 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Understanding social media’s role in political communication is crucial in the evolving media landscape. Motivated by the transformative impact of social media on political engagement and discourse, this research fills an under-explored academic gap, studying the effects of geographic focus—local versus national—in candidates’ tweets on U.S. Senate election outcomes. It reveals a modest but significant correlation between the nature of political discourse and election competitiveness. Interestingly, strict adherence to party-centric topics did not significantly influence electoral success. The study assessed the performance of regression and classification models in forecasting election outcomes, with classification models demonstrating superior results. Both models provide a new benchmark for future studies in political communication on social media. These findings bear considerable implications for political practitioners, indicating that election success is not merely guaranteed by echoing party-centric issues or predominantly adopting a national communication scope.- Reproduced https://journals.sagepub.com/doi/full/10.1177/10659129241286827 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning, predictive modeling, Topic analysis, Political communication, Social media political marketing, Twitter. |
| 9 (RLIN) | 54153 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Political Research Quarterly |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2025-06-10 | 78(1), Mar, 2025: p.323-340 | AR136163 | 2025-06-10 | Articles |
