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Machine learning for tracking illegal wildlife trade on social media

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Fig. 1: Filtering Twitter content for rhinoceros images using machine learning.

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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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Correspondence to Enrico Di Minin.

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Di Minin, E., Fink, C., Tenkanen, H. et al. Machine learning for tracking illegal wildlife trade on social media. Nat Ecol Evol 2, 406–407 (2018). https://doi.org/10.1038/s41559-018-0466-x

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