Understanding the sentiment associated with cultural ecosystem services using images and text from social media

IF 6.1 2区 环境科学与生态学 Q1 ECOLOGY
Ilan Havinga , Diego Marcos , Patrick Bogaart , Devis Tuia , Lars Hein
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引用次数: 0

Abstract

Social media is increasingly being employed to develop Cultural Ecosystem Services (CES) indicators. The image-sharing platform Flickr has been one of the most popular sources of data. Most large-scale studies, however, tend to only use the number of images as a proxy for CES due to the challenges associated with processing large amounts of this data but this does not fully represent the benefit generated by ecosystems in terms of the positive experiences expressed by users in the associated text. To address this gap, we apply several Computer Vision (CV) and natural language processing (NLP) models to link CES estimates for Great Britain based on the content of images to sentiment measures using the accompanying text, and compare our results to a national, geo-referenced survey of recreational well-being in England. We find that the aesthetic quality of the landscape and the presence of particular wildlife results in more positive sentiment. However, we also find that different physical settings correlate with this sentiment and that sentiment is sometimes more strongly related to social activities than many natural factors. Still, we find significant associations between these CES measures, sentiment and survey data. Our findings illustrate that integrating sentiment analysis with CES measurement can capture some of the positive benefits associated with CES using social media. The additional detail provided by these novel techniques can help to develop more meaningful CES indicators for recreational land use management.

利用社交媒体中的图片和文字了解与文化生态系统服务相关的情感
人们越来越多地利用社交媒体来制定文化生态系统服务 (CES) 指标。图片共享平台 Flickr 一直是最受欢迎的数据来源之一。然而,由于处理大量此类数据所面临的挑战,大多数大规模研究往往只使用图片数量作为 CES 的替代指标,但这并不能完全代表生态系统所产生的效益,即用户在相关文本中表达的积极体验。为了弥补这一不足,我们应用了多个计算机视觉 (CV) 和自然语言处理 (NLP) 模型,将基于图像内容的大不列颠 CES 估算值与使用随附文本的情感测量值联系起来,并将我们的结果与英国一项全国性、地理参照的娱乐福祉调查进行比较。我们发现,景观的美学质量和特定野生动物的存在会带来更积极的情感。不过,我们也发现,不同的自然环境与这种情感也有关联,而且有时情感与社会活动的关系比与许多自然因素的关系更为密切。尽管如此,我们还是发现了这些 CES 测量、情感和调查数据之间的重要关联。我们的研究结果表明,将情感分析与 CES 测量相结合,可以捕捉到一些与使用社交媒体进行 CES 相关的积极好处。这些新技术所提供的额外细节有助于为休闲土地利用管理开发更有意义的 CES 指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecosystem Services
Ecosystem Services ECOLOGYENVIRONMENTAL SCIENCES&-ENVIRONMENTAL SCIENCES
CiteScore
14.90
自引率
7.90%
发文量
109
期刊介绍: Ecosystem Services is an international, interdisciplinary journal that is associated with the Ecosystem Services Partnership (ESP). The journal is dedicated to exploring the science, policy, and practice related to ecosystem services, which are the various ways in which ecosystems contribute to human well-being, both directly and indirectly. Ecosystem Services contributes to the broader goal of ensuring that the benefits of ecosystems are recognized, valued, and sustainably managed for the well-being of current and future generations. The journal serves as a platform for scholars, practitioners, policymakers, and other stakeholders to share their findings and insights, fostering collaboration and innovation in the field of ecosystem services.
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