| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w24631 |
| 来源ID | Working Paper 24631 |
| Social Media, Sentiment and Public Opinions: Evidence from #Brexit and #USElection | |
| Yuriy Gorodnichenko; Tho Pham; Oleksandr Talavera | |
| 发表日期 | 2018-05-21 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | This paper studies information diffusion in social media and the role of bots in shaping public opinions. Using Twitter data on the 2016 E.U. Referendum (“Brexit”) and the 2016 U.S. Presidential Election, we find that diffusion of information on Twitter is largely complete within 1-2 hours. Stronger interactions across agents with similar beliefs are consistent with the “echo chambers” view of social media. Bots have a tangible effect on the tweeting activity of humans but the degree of bots’ influence depends on whether bots provide information consistent with humans’ priors. Overall, our results suggest that the aggressive use of Twitter bots, coupled with the fragmentation of social media and the role of sentiment, could contribute to the vote outcomes. |
| 主题 | Microeconomics ; Welfare and Collective Choice ; Economics of Information |
| URL | https://www.nber.org/papers/w24631 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/582305 |
| 推荐引用方式 GB/T 7714 | Yuriy Gorodnichenko,Tho Pham,Oleksandr Talavera. Social Media, Sentiment and Public Opinions: Evidence from #Brexit and #USElection. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w24631.pdf（568KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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