Citizen science on Twitter : using data analytics to understand conversations and networks

Mazumdar, S. orcid.org/0000-0002-0748-7638 and Thakker, D. (2020) Citizen science on Twitter : using data analytics to understand conversations and networks. Future Internet, 12 (12). 210.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: citizen science; social network; twitter; crowdsourcing; network analysis
Dates:
  • Accepted: 22 November 2020
  • Published (online): 26 November 2020
  • Published: 26 November 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 27 Nov 2020 10:54
Last Modified: 27 Nov 2020 10:54
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/fi12120210

Share / Export

Statistics