Machine learning for tracking illegal wildlife trade on social media

Enrico Di Minin; Christoph Fink; Henrikki Tenkanen; Tuomo Hiippala

doi:10.1038/s41559-018-0466-x

Machine learning for tracking illegal wildlife trade on social media

Enrico Di Minin, Christoph Fink, Henrikki Tenkanen, Tuomo Hiippala

Research output: Contribution to journal › Letter › Scientific

Original language	English
Journal	Nature Ecology & Evolution
Volume	2
Issue number	3
Pages (from-to)	406-407
Number of pages	2
ISSN	2397-334X
DOIs	https://doi.org/10.1038/s41559-018-0466-x
Publication status	Published - Mar 2018
MoE publication type	B1 Journal article

Fields of Science

1181 Ecology, evolutionary biology
519 Social and economic geography

Access to Document

10.1038/s41559-018-0466-x

Investigating illegal wildlife trade: innovative approaches to inform global conservation policy
Di Minin, E. (Principal Investigator), Fink, C. (Participant), Haukka, A. (Participant) & Hausmann, A. (Participant)
Valtion perusrahoitus/hankkeet, Helsinki Institute of Sustainability Science (HELSUS)
01/09/2016 → 31/05/2020
Project: University of Helsinki Three-Year Research Project

Cite this

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title = "Machine learning for tracking illegal wildlife trade on social media",

keywords = "1181 Ecology, evolutionary biology, 519 Social and economic geography",

author = "\{Di Minin\}, Enrico and Christoph Fink and Henrikki Tenkanen and Tuomo Hiippala",

year = "2018",

month = mar,

doi = "10.1038/s41559-018-0466-x",

language = "English",

volume = "2",

pages = "406--407",

journal = "Nature Ecology \& Evolution",

issn = "2397-334X",

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TY - JOUR

T1 - Machine learning for tracking illegal wildlife trade on social media

AU - Di Minin, Enrico

AU - Fink, Christoph

AU - Tenkanen, Henrikki

AU - Hiippala, Tuomo

PY - 2018/3

Y1 - 2018/3

KW - 1181 Ecology, evolutionary biology

KW - 519 Social and economic geography

U2 - 10.1038/s41559-018-0466-x

DO - 10.1038/s41559-018-0466-x

M3 - Letter

SN - 2397-334X

VL - 2

SP - 406

EP - 407

JO - Nature Ecology & Evolution

JF - Nature Ecology & Evolution

IS - 3

ER -

Machine learning for tracking illegal wildlife trade on social media

Fields of Science

Access to Document

Projects

Investigating illegal wildlife trade: innovative approaches to inform global conservation policy

Cite this