School of Geography and the Environment, University of Oxford, Oxford, United Kingdom.
WildCRU, Recanati-Kaplan Centre, Department of Zoology, Oxford University, Oxford, United Kingdom.
PLoS Biol. 2024 Aug 29;22(8):e3002793. doi: 10.1371/journal.pbio.3002793. eCollection 2024 Aug.
The widespread sharing of information on the Internet has given rise to ecological studies that use data from digital sources including digitized museum records and social media posts. Most of these studies have focused on understanding species occurrences and distributions. In this essay, we argue that data from digital sources also offer many opportunities to study animal behavior including long-term and large-scale comparisons within and between species. Following Nikko Tinbergen's classical roadmap for behavioral investigation, we show how using videos, photos, text, and audio posted on social media and other digital platforms can shed new light on known behaviors, particularly in a changing world, and lead to the discovery of new ones.
互联网上信息的广泛共享催生了生态研究，这些研究使用来自数字资源的数据，包括数字化的博物馆记录和社交媒体帖子。这些研究大多集中在了解物种的出现和分布上。在本文中，我们认为数字资源的数据还为研究动物行为提供了许多机会，包括在物种内部和物种之间进行长期和大规模的比较。我们遵循 Nikko Tinbergen 的经典行为研究路线图，展示了如何使用社交媒体和其他数字平台上发布的视频、照片、文本和音频来揭示已知行为，特别是在不断变化的世界中，并发现新的行为。
