A Multifaceted Approach to Social Multimedia-Based Prediction of Elections
文献类型：期刊论文
| 作者 | You, Quanzeng; Cao, Liangliang; Cong Y(丛杨) ; Zhang, Xianchao; Luo JB(罗杰波)
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| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
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| 出版日期 | 2015 |
| 卷号 | 17期号:12页码:2271-2280 |
| 关键词 | Data mining election prediction social multimedia vector auto-regression |
| ISSN号 | 1520-9210 |
| 产权排序 | 3 |
| 通讯作者 | You, Quanzeng |
| 中文摘要 | Compared with real-world polling, election prediction based on social media can be far more timely and cost-effective due to the immediate availability of fast evolving Web contents. However, information from social media may suffer from noise and sampling bias that are caused by various factors and thus pose one of biggest challenges in social media-based data analytics. This paper presents a new model, named competitive vector auto regression (CVAR), to build a reliable forecasting system for the US presidential elections and US House race. Our CVAR model is designed to analyze the correlation between image-centric social multimedia and real-world phenomena. By introducing the competition mechanism, CVAR compares the popularity among multiple competing candidates. More importantly, CVAR is able to combine visual information with textual information from rich and multifaceted social multimedia, which helps extract reliable signals and mitigate sampling bias. As a result, our proposed system can 1) accurately predict the election outcome, 2) infer the sentiment of the candidate photos shared in the social media communities, and 3) account for the sentiment of viewer comments towards the candidates on the related images. The experiments on the 2012 US presidential election at both national and state levels, as well as the 2014 US House race, have demonstrated the power and promise of the proposed approach. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
| 研究领域[WOS] | Computer Science ; Telecommunications |
| 关键词[WOS] | PRESIDENTIAL-ELECTION ; FUNDAMENTALS |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000365315500014 |
| 源URL | [http://ir.sia.cn/handle/173321/17437]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | You, Quanzeng,Cao, Liangliang,Cong Y,et al. A Multifaceted Approach to Social Multimedia-Based Prediction of Elections[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2015,17(12):2271-2280. |
| APA | You, Quanzeng,Cao, Liangliang,Cong Y,Zhang, Xianchao,&Luo JB.(2015).A Multifaceted Approach to Social Multimedia-Based Prediction of Elections.IEEE TRANSACTIONS ON MULTIMEDIA,17(12),2271-2280. |
| MLA | You, Quanzeng,et al."A Multifaceted Approach to Social Multimedia-Based Prediction of Elections".IEEE TRANSACTIONS ON MULTIMEDIA 17.12(2015):2271-2280. |
入库方式： OAI收割
来源：沈阳自动化研究所
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