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首页> 外文会议>Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining >An analysis of sentiments on facebook during the 2016 U.S. presidential election
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An analysis of sentiments on facebook during the 2016 U.S. presidential election

机译：对2016年美国总统大选期间Facebook情绪的分析

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Social networking sites (SNS), such as Facebook and Twitter, are important spaces for political engagement. SNS have become common elements in political participation, campaigns, and elections. However, little is known about the dynamics between candidate posts and commentator sentiment in response to those posts on SNS. This study enriches computational political science by studying the 2016 U.S. elections and how candidates and commentators engage on Facebook. This paper also examines how online activity might be connected to offline activity and vice versa. We extracted 9,700 Facebook posts by five presidential candidates (Hillary Clinton, Donald Trump, Bernie Sanders, Ted Cruz, and John Kasich) from their official Facebook pages and 12,050,595 comments on those posts. We employed topic modeling, sentiment analysis, and trends detection using wavelet transforms to discover topics, trends, and reactions. Our findings suggest that Republican candidates are more likely to share information on controversial events that have taken place during the election cycle, while Democratic candidates focus on social policy issues. As expected, commentators on Republican candidate pages express negative sentiments toward current public policies as they seldom support decisions made by the Obama administration, while commentators on democratic candidate pages are more likely to express support for continuation or advancement of existing policies. However, the significance (strong/weak) and nature (positiveegative) of sentiments varied between candidates within political parties based on perceived credibility of the candidate's degree of credibility on a given issue. Additionally, we explored correlation between online trends of comments/sentiment and offline events. When analyzing the trend patterns, we found that changes in online trends are driven by three factors: 1) popular post, 2) offline debates, and 3) candidates dropping out of the race.
机译：诸如Facebook和Twitter之类的社交网站（SNS）是进行政治互动的重要空间。 SNS已成为政治参与，竞选和选举中的常见元素。但是，对于响应SNS上那些职位的候选人职位和评论员情绪之间的动态知之甚少。这项研究通过研究2016年美国大选以及候选人和评论员在Facebook上的互动方式，丰富了计算政治学。本文还研究了在线活动如何与离线活动联系起来，反之亦然。我们从其官方Facebook页面上提取了五位总统候选人（希拉里·克林顿，唐纳德·特朗普，伯尼·桑德斯，泰德·克鲁兹和约翰·卡西奇）的9,700条Facebook帖子，并对这些帖子发表了12,050,595条评论。我们使用小波变换进行主题建模，情感分析和趋势检测，以发现主题，趋势和反应。我们的调查结果表明，共和党候选人更有可能分享有关选举周期中发生的有争议事件的信息，而民主党候选人则将重点放在社会政策问题上。不出所料，共和党候选人页面上的评论员很少支持奥巴马政府的决定，而对当前的公共政策表示消极情绪，而民主候选人页面上的评论员则更有可能表示对现有政策的延续或推进。但是，政党内部候选人之间的情感的重要性（强/弱）和性质（积极/消极）因候选人在给定问题上的可信度的可信度而异。此外，我们探索了在线评论/情感趋势与离线事件之间的相关性。在分析趋势模式时，我们发现在线趋势的变化是由三个因素驱动的：1）热门帖子，2）离线辩论以及3）候选人退出比赛。

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