Social media sites have been gaining traction as a source of novel data for environmental research, particularly for cultural ecosystem service (CES) assessments. However, Reddit, a discussion-based site, has yet to establish itself as an important source of data for CES research, possibly due to researchers not being aware of its potential applications or because Reddit posts lack georeferencing information. Here, we demonstrate how researchers can search Reddit for CES datasets related to recreation and how specific pages on Reddit may provide data for other CES such as aesthetics. Using named-entity recognition, we developed an automated method of geocoding the approximate location of where images in Reddit posts were taken. Furthermore, we compare posts from Reddit and Flickr for a range of recreational activities and compare the content and textual metadata of images relating to hiking. Though there is potential for Reddit data to be used in spatial analysis, we highlight the limitations associated with georeferencing posts. We recommend that data from Reddit is best suited to assessing general trends in CES, either for a given service or place. By demonstrating the value of big data from Reddit we hope to encourage its inclusion in future CES and environmental research.

社交媒体网站作为环境研究的新数据来源越来越受到关注，尤其是文化生态系统服务 (CES) 评估。然而，基于讨论的网站 Reddit 尚未成为 CES 研究的重要数据来源，这可能是因为研究人员没有意识到其潜在应用，或者因为 Reddit 帖子缺乏地理参考信息。在这里，我们展示了研究人员如何在 Reddit 上搜索与娱乐相关的 CES 数据集，以及 Reddit 上的特定页面如何为其他 CES（例如美学）提供数据。使用命名实体识别，我们开发了一种自动地理编码方法，可以对 Reddit 帖子中的图像拍摄位置进行地理编码。此外，我们比较了 Reddit 和 Flickr 上一系列娱乐活动的帖子，并比较了与徒步旅行相关的图像的内容和文本元数据。尽管 Reddit 数据有可能用于空间分析，但我们强调了与地理配准帖子相关的局限性。我们建议来自 Reddit 的数据最适合评估给定服务或地点的 CES 总体趋势。通过展示 Reddit 大数据的价值，我们希望鼓励将其纳入未来的 CES 和环境研究。