acm-header
Sign In

Communications of the ACM

ACM TechNews

­sing Artificial Intelligence to Investigate Illegal Wildlife Trade on Social Media


View as: Print Mobile App Share:
Southern white rhinoceroses in an undisclosed protected area in South Africa.

University of Helsinki researchers say artificial intelligence can be used to help monitor illegal wildlife trade on social media.

Credit: Enrico Di Minin

Researchers at the University of Helsinki in Finland say artificial intelligence (AI) can be used to help monitor illegal wildlife trade on social media.

Enrico Di Minin, a conservation scientist at the university, leads an interdisciplinary research group that uses AI approaches to investigate the supply chain of the illegal wildlife trade. Di Minin says efforts to reduce illegal wildlife trade are hindered by the dearth of tools available for monitoring high-volume social media data.

Project researchers are applying AI methods such as machine learning algorithms to identify content pertaining to illegal wildlife trade on social media.

Helsinki professor Tuomo Hiippala notes natural language processing can be used to process the language of social media posts. "Most importantly, machine learning algorithms can process combinations of verbal, visual and audio-visual content," Hiippala says.

From ScienceDaily
View Full Article

 

Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA


 

No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account