Premium
A framework for investigating illegal wildlife trade on social media with machine learning
Author(s) -
Di Minin Enrico,
Fink Christoph,
Hiippala Tuomo,
Tenkanen Henrikki
Publication year - 2019
Publication title -
conservation biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.2
H-Index - 222
eISSN - 1523-1739
pISSN - 0888-8892
DOI - 10.1111/cobi.13104
Subject(s) - wildlife trade , wildlife , social media , computer science , data science , geography , ecology , world wide web , biology
Article impact statement : Machine learning can be used to automatically monitor and assess illegal wildlife trade on social media platforms.