表情符号
情绪分析
旅游
愤怒
适度
情感(语言学)
广告
舆论
心理学
事件(粒子物理)
幸福
目的地图像
情绪分类
社会心理学
消费者行为
用户生成的内容
互联网隐私
社会化媒体
悲伤
大众传媒
消极情绪
作者
Hong Huo,Junru Yao,Chen Wang,Rong Wu,Qiutong Li,Dingyao Yu
标识
DOI:10.1177/13567667251382412
摘要
Rapid dissemination of information on social media challenges effective destination image management. Through text mining, this study explores how public emotions triggered by the tourism crisis event on social media affect users’ engagement behavior. It is found that specific discrete emotions—particularly anger and love—significantly enhance user engagement, identifying them as the most influential negative and positive drivers, respectively. Unlike previous studies that merely consider the presence or absence of emojis, this research shows that a higher proportion of emoji use weakens the impact of these emotional drivers. The study further uncovers the internal structure and the dynamic evolution of high-impact emotions using structural topic modeling. These findings provide actionable insights for tourism stakeholders, enabling them to refine public opinion strategies and respond swiftly to online emotion shifts.
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