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COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism

机译:Covid-19和旅游:分析Covid-19统计和媒体覆盖对旅游态度的影响

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COVID-19 has significantly influenced tourism, including tourists’ and residents’ attitudes toward tourism. At the same time, attitudes and consumer confidence are important for economic recovery in the tourism sector. This study explores the effects of the COVID-19 pandemic on people’s attitudes toward tourism by analyzing time-series data on the number of COVID-19 positive cases, vaccinations, news sentiment, a total number of daily mentions of tourism, and the share of voice for positive and negative sentiment toward tourism. The applied data analysis techniques include descriptive analysis, visual representation of data, data decomposition into trend and cycle components, unit root tests, Granger causality test, and multiple time series regression. The results demonstrate that the COVID-19 statistics and media coverage have significant effects on interest in tourism in general, as well as the positive and negative sentiment toward tourism. The results contribute to knowledge and practice by describing the effects of the disease statistics on attitudes toward tourism, introducing social media sentiment analysis as an opportunity to measure positive and negative sentiment toward tourism, and providing recommendations for government authorities, destination management organizations, and tourism providers.
机译:Covid-19具有显着影响的旅游业,包括游客和居民对旅游的态度。与此同时,态度和消费者信心对旅游部门的经济复苏很重要。本研究探讨了Covid-19流行对人们对旅游态度的影响,通过分析了关于Covid-19阳性案件,疫苗接种,新闻感情的数量,每日提升的份额和旅游的总数对旅游的积极情绪和负面情绪的声音。应用的数据分析技术包括描述性分析,数据的视觉表示,数据分解成趋势和周期组件,单位根测试,格兰杰因果关系和多个时间序列回归。结果表明,Covid-19统计和媒体覆盖率对旅游业的兴趣产生了重大影响,以及对旅游的积极和消极情绪。结果通过描述疾病统计数据对旅游态度的影响,促进了社会媒体情感分析作为对旅游业积极和消极情绪的机会,为政府当局,目的地管理组织和旅游业提供建议提供者。

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