Tweets in the Peak: Twitter Analysis - the impact of Covid-19 on cultural landscapes

Q2 Arts and Humanities
Martina Tenzer
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引用次数: 1

Abstract

The Covid-19 pandemic had an unprecedented impact on society, with restrictions on socialising and movement during the three lockdown periods between March 2020 and March 2021 (Baker et al. 2021; Institute for Government Analysis 2021). Easily accessible locations offering the typical qualities of tourist destinations moved into the focus of day visitors in periods when restriction eased. The Peak District National Park (PDNP), a cultural landscape comprising historical places, natural beauty spots, and 'chocolate box' villages, offered a way of satisfying the urge to escape to the countryside. The impact was also felt in the heritage sector, with a noticeable change in visitor behaviour and the relationship between park residents and day tourists (Jones and McGinlay 2020; Sofaer et al. 2021). In order to understand societal change, social media research gives a unique insight into the sentiments, actions, and controversies associated with tourism, Covid-19, and nature conservation. In particular, the open and public nature of Twitter data offers itself for the analysis of large datasets based on specific search queries at specific time periods. For this research, tweets from the PDNP for three weekends in 2019 to 2021 with different restriction levels were collected. Using R and Python, automated processes allow the time-efficient analysis of qualitative information. This project has extended the standard procedures of social media analysis, such as keyword search and sentiment analysis by an emoji analysis and location entity recognition, focusing specifically on cultural and natural heritage. Using Twitter data in a time-efficient process and creating visually appealing outputs may foster an appreciation of the park's resources and positively influence the behaviour of visitors and residents. Going forward, improving the relationship between people and places will provide background for the management of cultural landscapes and help tackle environmental issues, such as peat erosion resulting from a large influx of walkers, address the climate change emergency, and help ease the controversial relationship between a living and working landscape and tourism.
高峰推特:推特分析-新冠肺炎对文化景观的影响
新冠肺炎大流行对社会产生了前所未有的影响,在2020年3月至2021年3月的三个封锁期间,社交和行动受到限制(Baker等人,2021;政府分析研究所,2021)。在限制放宽的时期,提供典型旅游目的地品质的便利地点成为了日间游客的焦点。匹克区国家公园(PDNP)是一个由历史遗迹、自然美景和“巧克力盒子”村庄组成的文化景观,它提供了一种满足逃离乡村冲动的方式。遗产部门也感受到了这种影响,游客行为以及公园居民和日间游客之间的关系发生了显著变化(Jones和McGinley 2020;Sofaer等人2021)。为了了解社会变化,社交媒体研究对旅游、新冠肺炎和自然保护相关的情感、行为和争议提供了独特的见解。特别是,Twitter数据的开放性和公开性为基于特定时间段的特定搜索查询分析大型数据集提供了条件。在这项研究中,收集了2019年至2021年三个周末PDNP的推文,这些推文具有不同的限制级别。使用R和Python,自动化过程可以实现对定性信息的时效分析。该项目扩展了社交媒体分析的标准程序,如通过表情符号分析和位置实体识别进行关键词搜索和情感分析,特别关注文化和自然遗产。在一个高效的过程中使用推特数据并创建视觉吸引力的输出,可以促进对公园资源的欣赏,并对游客和居民的行为产生积极影响。展望未来,改善人与地方之间的关系将为文化景观的管理提供背景,并有助于解决环境问题,如大量步行者涌入造成的泥炭侵蚀,应对气候变化紧急情况,并有利于缓解生活和工作景观与旅游业之间的争议关系。
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
Internet Archaeology
Internet Archaeology Arts and Humanities-Archeology (arts and humanities)
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
16 weeks
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