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Conserv Biol. 2019 Feb;33(1):210-213. doi: 10.1111/cobi.13104. Epub 2018 Nov 14.

A framework for investigating illegal wildlife trade on social media with machine learning.

Author information

1
Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, FI 00014, Finland.
2
Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, FI 00014, Finland.
3
School of Life Sciences, University of KwaZulu-Natal, KwaZulu-Natal, Durban 4000, South Africa.
4
Department of Languages, University of Helsinki, Helsinki, FI 00014, Finland.

Abstract

Article impact statement: Machine learning can be used to automatically monitor and assess illegal wildlife trade on social media platforms.

PMID:
29528136
DOI:
10.1111/cobi.13104
[Indexed for MEDLINE]

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