Elections and the Twitter community: the case of right-wing and left-wing primaries for the 2017 French Presidential election

被引：0
|
作者：
Sokolova, Karina [1 ]
Perez, Charles [1 ]
机构：
[1] PSB, Chair D3 Disrupt, Digital, Data, 59 Rue Natl, Paris, France
来源：
2018 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) | 2018年
关键词：
Twitter; Politics; Social network analysis; Election; Primary election;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Digital social networks and social media have created increased attention and have become important in the political life of a country. Politicians, media and citizens are visible online and share their opinions immediately on these platforms. During the last days before an election a lot of activity is observed on these media, giving a picture of the issues and key people. In this paper, we study the case of the French primaries election through the Twitter microscope over a period of 10 days preceding the election. We apply social network analysis to uncover the key topics and influencers for the left and right-wings. A set of 6 graphs are constructed to analyze, separately and conjointly, the opposing factions by means of mentions and hashtag graphs.
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页码：1021 / 1026
页数：6
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