The narrative on tourism sustainability in Italian news: A text mining approach

IF 3.5 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Big Data Research Pub Date : 2025-05-16 DOI:10.1016/j.bdr.2025.100541

Carla Galluccio , Paola Beccherle , Alessandra Petrucci

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Abstract

Tourism sustainability is a complex and multidimensional construct, for which there is no shared definition in the literature. Consequently, there is no standard method for its measurement, and the adoption of sustainable practices often falls short of reached goals. Therefore, contributing to the definition of the concept of sustainable tourism is essential, both for policymakers and academics. In this vein, news media data can represent a key element through which to understand the debate about tourism sustainability. This research aims to exploit the potential of news texts to explore how sustainable tourism is conceived within specific cultural contexts. Focusing on the case study of Italy, we analysed how the concept of tourism sustainability is represented in Italian newspapers, extracting the topics discussed in relation to this theme. From a methodological point of view, we employed a network-based approach for topic extraction. Our study contributes to the literature on tourism sustainability by proposing an innovative method for extracting information from unstructured data sources, such as textual data, providing policymakers with insights about the narrative around this topic.

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意大利新闻中旅游业可持续性的叙述：一种文本挖掘方法

旅游可持续性是一个复杂的多维结构，在文献中没有共同的定义。因此，没有衡量它的标准方法，采用可持续的做法往往达不到达到的目标。因此，对政策制定者和学者来说，为可持续旅游概念的定义做出贡献至关重要。在这方面，新闻媒体数据可以成为理解关于旅游业可持续性辩论的一个关键因素。本研究旨在利用新闻文本的潜力，探索如何在特定的文化背景下构思可持续旅游。着眼于意大利的案例研究，我们分析了旅游可持续发展的概念是如何在意大利报纸上表现出来的，提取了与这一主题相关的讨论话题。从方法论的角度来看，我们采用了基于网络的方法进行主题提取。我们的研究提出了一种从非结构化数据源（如文本数据）中提取信息的创新方法，为政策制定者提供了关于这一主题的见解，从而为旅游业可持续发展的文献做出了贡献。

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

Big Data Research Computer Science-Computer Science Applications

CiteScore

8.40

自引率

3.00%

发文量

期刊介绍： The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.