Correction to: 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 and Natasha Ferrari
Additional contact information
John Brandt: World Resources Institute
Kathleen Buckingham: World Resources Institute
Cody Buntain: University of Maryland, College Park
Will Anderson: World Resources Institute
Sabin Ray: World Resources Institute
John-Rob Pool: World Resources Institute
Natasha Ferrari: World Resources Institute

Journal of Computational Social Science, 2021, vol. 4, issue 2, No 21, 919-919

Abstract: The article “Identifying social media user demographics and topic diversity with computational social science

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s42001-020-00074-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jcsosc:v:4:y:2021:i:2:d:10.1007_s42001-020-00074-9

Ordering information: This journal article can be ordered from
http://www.springer. ... iences/journal/42001

DOI: 10.1007/s42001-020-00074-9

Access Statistics for this article

Journal of Computational Social Science is currently edited by Takashi Kamihigashi

More articles in Journal of Computational Social Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().