Revisiting The American Voter on Twitter

Revisiting The American Voter on Twitter
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重温推特上的美国选民

DOI:
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发表时间:
2017
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
P. Srinivasan
P. Srinivasan
中科院分区:
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文献类型:
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作者:
Huyen T. Le;G. Boynton;Yelena Mejova;Zubair Shafiq;P. Srinivasan

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《美国选民》是政治学的一部开创性著作,它揭示了投票行为的多面性,几十年来,这一点在选举研究中得到了证实。在本文中,我们利用美国选民作为计算政治学领域的分析框架,采用政党,个性和政策因素来构建2016年美国总统初选期间在线社交媒体上的公共话语分析。我们对5000万条推文的分析揭示了这三个因素的持续重要性;情感分析技术的应用也丰富了我们的理解。围绕10位主要总统候选人的对话中压倒性的负面情绪揭示了民主党倾向的用户对共和党候选人的更多“串话”,反之亦然。我们发现缺乏温和是这个竞选季讨论最多的个性维度,因为政治领域变得更加极端--克林顿和鲁比奥被认为是温和的,而特朗普、桑德斯和克鲁兹则不是。虽然讨论最多的问题是外交政策和移民,但共和党人在推特上谈论堕胎的次数比民主党人多,民主党人在推特上谈论同性恋权利的次数比共和党人多。最后,我们说明了多方面的政治话语分析的重要性,通过应用回归来量化政党,个性和政策对全国民意调查的影响。
The American Voter - a seminal work in political science - uncovered the multifaceted nature of voting behavior which has been corroborated in electoral research for decades since. In this paper, we leverage The American Voter as an analysis framework in the realm of computational political science, employing the factors of party, personality, and policy to structure the analysis of public discourse on online social media during the 2016 U.S. presidential primaries. Our analysis of 50 million tweets reveals the continuing importance of these three factors; our understanding is also enriched by the application of sentiment analysis techniques. The overwhelmingly negative sentiment of conversations surrounding 10 major presidential candidates reveals more "crosstalk" from Democratic leaning users towards Republican candidates, and less vice-versa. We uncover the lack of moderation as the most discussed personality dimension during this campaign season, as the political field becomes more extreme - Clinton and Rubio are perceived as moderate, while Trump, Sanders, and Cruz are not. While the most discussed issues are foreign policy and immigration, Republicans tweet more about abortion than Democrats who tweet more about gay rights than Republicans. Finally, we illustrate the importance of multifaceted political discourse analysis by applying regression to quantify the impact of party, personality, and policy on national polls.