Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum (vol 3, pg 167, 2020)

被引:0
|
作者
Brandt, John [1 ]
Buckingham, Kathleen [1 ]
Buntain, Cody [2 ]
Anderson, Will [1 ]
Ray, Sabin [1 ]
Pool, John-Rob [1 ]
Ferrari, Natasha [1 ]
机构
[1] World Resources Inst, 10 G St NE 800, Washington, DC 20002 USA
[2] Univ Maryland, College Pk, MD 20742 USA
来源
关键词
D O I
10.1007/s42001-020-00074-9
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
The article “Identifying social media user demographics and topic diversity with computational social science
引用
收藏
页码:919 / 919
页数:1
相关论文
共 2 条
  • [1] Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum
    Brandt, John
    Buckingham, Kathleen
    Buntain, Cody
    Anderson, Will
    Ray, Sabin
    Pool, John-Rob
    Ferrari, Natasha
    JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE, 2020, 3 (01): : 167 - 188
  • [2] Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum
    John Brandt
    Kathleen Buckingham
    Cody Buntain
    Will Anderson
    Sabin Ray
    John-Rob Pool
    Natasha Ferrari
    Journal of Computational Social Science, 2020, 3 : 167 - 188