利用Twitter上的游客生成内容评价多伦多的旅游目的地形象

H. Clarke, A. Hassanien
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引用次数: 3

摘要

本研究旨在从游客在社交媒体上的感知来评估目的地形象的认知、情感和内涵成分。网络图技术用于数据分析和解释。通过文本内容分析的方法,对游客推文所产生内容的意义进行解读。研究结果表明,目的地景点是认知成分中评论最多的成分。在整个旅游过程中,游客对目的地的情感形象进行了评价。研究发现,游客对多伦多作为旅游目的地的评价是积极的。在访问多伦多之前,期间和之后评估了创造性成分。游客通过个人更新和信息分享,提供了他们在网上的行为。研究成果使学者和实践者更深入地了解由游客生成的用户内容所形成的目的地形象的维度及其在各种环境下信息交换的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Evaluation of Toronto's Destination Image Through Tourist Generated Content on Twitter
This study aims at evaluating the cognitive, affective, and conative components of destination image from the perception of tourists on social media. The netnography technique is used for data analysis and interpretation. Through a textual content analysis approach, an interpretation of meaning of content produced from tweets by tourists is conducted. The findings show that destination attractions were the most commented on component of the cognitive component. Throughout the travelling process, tourists assessed the affective destination image. It was found that tourists' evaluation was of favourable emotions towards Toronto as a destination. The conative component was assessed before, during, and after visiting Toronto. Tourists provided insight into their behaviour online through personal updates and information sharing. The research outcomes provide scholars and practitioners with greater insight into the dimensions of destination image formed by user-generated content from tourists and their usefulness for information exchange in various settings.
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