Online wildlife trade is widespread and affects thousands of species. Yet, attempts to quantify online wildlife trade have mainly focused on a few platforms and taxonomic groups. Here, we study the prevalence of wildlife trade using automated data collection and filtering methods. We analyze trade across five digital platforms and 156 animal and plant species of conservation concern from a global biodiversity hotspot, the Philippines. We identified approximately 5000 highly relevant instances of trade in 1.47 million posts, focusing on 108 species, 79 of which are classified as threatened. Trade mainly occurred on webpages indexed in Google and on Twitter. We found that manual validation is essential, as animals obtained a higher proportion of hits prior to validation. Following manual validation, we observed a shift toward plant-related trade hits. Scaling up these approaches to a global level is key to understanding the extent of digital wildlife trade across the globe.

中文翻译：

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受保护物种的在线野生动物贸易

在线野生动物贸易非常普遍，影响着数千个物种。然而，量化在线野生动物贸易的尝试主要集中在少数平台和分类群体上。在这里，我们使用自动数据收集和过滤方法研究野生动物贸易的普遍程度。我们分析了来自全球生物多样性热点菲律宾的五个数字平台和 156 种受保护动植物物种的贸易。我们在 147 万个帖子中识别出大约 5000 个高度相关的贸易实例，重点关注 108 个物种，其中 79 个物种被列为受威胁物种。交易主要发生在谷歌和推特索引的网页上。我们发现手动验证至关重要，因为动物在验证之前获得了更高比例的命中。经过手动验证后，我们观察到了与植物相关的贸易冲击的转变。将这些方法推广到全球水平是了解全球数字野生动物贸易范围的关键。