Using artificial intelligence to investigate illegal wildlife trade on social media

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Despite their potential, approaches from artificial intelligence are still rarely used in addressing the biodiversity crisis," he says. Many social media platforms provide an application programming interface that allows researchers to access user-generated text, images and videos, as well as the accompanying metadata, such as where and when the content was uploaded, and connections between the users. Assistant professor Tuomo Hiippala highlights how machine learning methods can be used to process the language of social media posts. "Natural language processing can be used to infer the meaning of a sentence and to classify the sentiment of social media users towards illegal wildlife trade. Most importantly, machine learning algorithms can process combinations of verbal, visual and audio-visual content," Hiippala says.