Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news

IF 7.4 1区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information Processing & Management Pub Date : 2024-10-10 DOI:10.1016/j.ipm.2024.103910

Andreas Grivas , Claire Grover , Richard Tobin , Clare Llewellyn , Eleojo Oluwaseun Abubakar , Chunyu Zheng , Chris Dibben , Alan Marshall , Jamie Pearce , Beatrice Alex

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引用次数: 0

Abstract

The communities that we live in affect our health in ways that are complex and hard to define. Moreover, our understanding of the place-based processes affecting health and inequalities is limited. This undermines the development of robust policy interventions to improve local health and well-being.

News media provides social and community information that may be useful in health studies. Here we propose a methodology for characterising neighbourhoods by using local news articles. More specifically, we show how we can use Natural Language Processing (NLP) to unlock further information about neighbourhoods by analysing, geoparsing and clustering news articles.

Our work is novel because we combine street-level geoparsing tailored to the locality with clustering of full news articles, enabling a more detailed examination of neighbourhood characteristics. We evaluate our outputs and show via a confluence of evidence, both from a qualitative and a quantitative perspective, that the themes we extract from news articles are sensible and reflect many characteristics of the real world. This is significant because it allows us to better understand the effects of neighbourhoods on health. Our findings on neighbourhood characterisation using news data will support a new generation of place-based research which examines a wider set of spatial processes and how they affect health, enabling new epidemiological research.

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对爱丁堡的看法：通过聚类地方新闻捕捉街区特征

我们生活的社区对我们的健康有着复杂而难以界定的影响。此外，我们对影响健康和不平等的基于地方的过程的了解也很有限。新闻媒体提供的社会和社区信息可能对健康研究有用。新闻媒体提供的社会和社区信息可能对健康研究有用。在此，我们提出了一种利用本地新闻报道描述社区特征的方法。更具体地说，我们展示了如何利用自然语言处理（NLP）技术，通过对新闻报道进行分析、地理解析和聚类，获取更多有关邻里的信息。我们的工作很新颖，因为我们将针对当地情况的街道级地理解析与完整新闻报道的聚类相结合，从而能够更详细地考察邻里特征。我们从定性和定量的角度评估了我们的成果，并通过一系列证据表明，我们从新闻文章中提取的主题是合理的，反映了现实世界的许多特征。这一点意义重大，因为它能让我们更好地了解社区对健康的影响。我们利用新闻数据进行邻里特征描述的研究结果将支持新一代基于地点的研究，该研究将探讨更广泛的空间过程及其对健康的影响，从而开展新的流行病学研究。

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

Information Processing & Management 工程技术-计算机：信息系统

CiteScore

17.00

自引率

11.60%

发文量

276

审稿时长

39 days

期刊介绍： Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.