Wildlife Conservation and Criminology Analyses

This paper introduces a multimodal machine learning framework for detecting wildlife trade on YouTube by integrating text and visual analysis, identifying 3,715 posts featuring 226 species, including many threatened ones.

This paper examines the Indonesian songbird trade through a political ecology lens, highlighting animal welfare harms and their social and cultural drivers.

This study uses Google Trends and Yahoo! Chiebukuro to analyze public interest in pet reptiles in Japan, revealing trends in popularity and highlighting conservation concerns.

The paper reviews the marine ornamental fish trade in the EU, highlighting trade value, species diversity, and the need for improved monitoring systems.