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.
引用
收藏
页码：1021 / 1026
页数：6
相关论文
共 24 条
  • [1] Adamic L. A., 2005, P 3 INT WORKSH LINK, P36
  • [2] Bermingham A., 2011, PSYCHOLOGY
  • [3] Boireau M., 2015, WORKSH DIG MED POW D
  • [4] Bruns A., 2013, INFORM COMMUNICATION
  • [5] Cram L., 2017, UK General Election 2017: a Twitter Analysis
  • [6] Gaurav M., 2013, P 7 WORKSH SOC NETW, P1
  • [7] A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data
    Gayo-Avello, Daniel
    [J]. SOCIAL SCIENCE COMPUTER REVIEW, 2013, 31 (06) : 649 - 679
  • [8] Granberg-Rademacker J. S., 2017, ROLE TWITTER 2016 US
  • [9] Guilbeault Douglas, 2016, ATLANTIC
  • [10] Jaidka Kokil, 2015, P 7 INT C INF COMM T
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