Machine learning for tracking illegal wildlife trade on social media

Nature Ecology and Evolution

Volumn 2, Issue 3, 2018, Pages 406-407

  Di Minin, Enrico ^a,b   Fink, Christoph ^a   Tenkanen, Henrikki ^a   Hiippala, Tuomo ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

^b UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ENVIRONMENTAL PROTECTION; MACHINE LEARNING; PROCEDURES; SOCIAL MEDIA; WILD ANIMAL;

ANIMALS; ANIMALS, WILD; CONSERVATION OF NATURAL RESOURCES; MACHINE LEARNING; SOCIAL MEDIA;

EID: 85040696734     PISSN: None     EISSN: 2397334X     Source Type: Journal    
DOI: 10.1038/s41559-018-0466-x     Document Type: Letter

References (6)

1. Xiao, Y., Guan, J. & Xu, L. Wildlife Cybercrime in China (TRAFFIC, Cambridge, 2017).
2. Harrison, J. R., Roberts, D. L. & Hernandez-Castro, J. Conserv. Biol. 30, 900-904 (2016).
3. Yu, X. & Jia, W. Moving Targets: Tracking Online Sales of Illegal Wildlife (TRAFFIC, Cambridge, 2015).
4. Hastie, J. & McCrea-Steele, T. Wanted - Dead or Alive: Exposing Online Wildlife Trade (International Fund for Animal Welfare, London, 2014).
5. Le Cun, Y., Bengio, Y. & Hinton, G. Nature 521, 436-444 (2015).
6. Di Minin, E., Tenkanen, H. & Toivonen, T. Front. Environ. Sci. 3, 63 (2015).