Pangolins look like small, armoured ant-eaters. With their long prehensile tails, they are surprisingly good climbers, and when they’re threatened, they curl up into tight balls to wait for their assailant to leave. It’s a surprisingly cute, disarming and horribly inept defence against the threat they now face. Because once wrapped in a ball, they can very easily be picked up.
Between 2006 and 2015, 1,112,756 Pangolins were poached and trafficked. It’s done on such a scale that their bodies are initially bought and sold in bales and sacks – entire truckloads of them – before being broken down into scales and pieces of meat for pseudo-curatives within traditional Chinese medicine. They are the most trafficked animal in the world.
All eight species of Pangolin are now threatened with extinction, which means that to trade in them is completely illegal. Ever since 1975 an international convention – CITES – has stopped all trade in species that are endangered. Almost every country in the world is a signatory of it, and all have a responsibility to act.
One of the problems is that, like so many crimes, the buying and selling of endangered wildlife like pangolins has gone digital. Online order forms for pangolin scales, auctions for pangolin products, and quack medical sites describing in tedious detail the bogus science behind pangolin medicine all support this criminal industry. But while individual cases have been building up, it’s been difficult to know exactly how much of it is happening, and where.
That is why, for a year, I and a group of technologists have been building a way to detect this – and other kinds of – online environmental crime.
It wasn’t an easy task: we had to create a technical process that could identify the language of the endangered animals market; scour the internet looking for examples of it; and then train an entire architecture of algorithms to filter out the vast number of sites that probably weren’t involved. And because we also knew the practice would change over time, we needed to make the whole system dynamic, so it would learn from what it found in order to find more. (If online research methodology is your thing, you can read about the nuts and bolts of the project here.)
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