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Machine learning for tracking illegal wildlife trade on social media

Nature Ecology & Evolutionvolume 2pages406407 (2018) | Download Citation

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Acknowledgements

E.D.M. thanks the Academy of Finland 2016–2019, Grant 296524, for support. C.F. thanks the University of Helsinki for support via an Early Career Grant to E.D.M. T.H. was funded by the Finnish Cultural Foundation. H.T. thanks the DENVI doctoral programme at the University of Helsinki for support.

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Affiliations

  1. Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, FI-00014, Finland

    • Enrico Di Minin
    • , Christoph Fink
    • , Henrikki Tenkanen
    •  & Tuomo Hiippala
  2. School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa

    • Enrico Di Minin
  3. Department of Languages, University of Helsinki, Helsinki, FI-00014, Finland

    • Tuomo Hiippala

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The authors declare no competing financial interests.

Corresponding author

Correspondence to Enrico Di Minin.

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https://doi.org/10.1038/s41559-018-0466-x

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