On accommodation-sharing platform, host self-description influence consumer behavior as an important information. Based on the Perceived Value Theory and the Expectation Confirmation Theory, we developed an analytical framework to investigate the relationship between host description strategies and consumer behavior of room booking and satisfaction. We measured host description strategies ( and ) using machine learning and rule-based text analysis methods. Then we verified the different effects of two host description strategies on each of consumer behaviors based on a panel dataset from Airbnb. and have a positive impact on room booking and consumer satisfaction respectively. Room price moderates the relationship between host descriptions and consumer behaviors. A highly strategy can promote bookings for high-priced listings but decrease satisfaction. The strategy has a positive effect on the bookings of low-priced listings. This study contributes to tourism literature and property hosts in practice.

中文翻译：

---

诚实还是积极？ Airbnb 房东描述对消费者行为的影响

在住宿共享平台上，房东自我描述作为影响消费者行为的重要信息。基于感知价值理论和期望确认理论，我们开发了一个分析框架来研究主人描述策略与消费者预订房间和满意度行为之间的关系。我们使用机器学习和基于规则的文本分析方法测量了主机描述策略 ( 和 )。然后，我们基于 Airbnb 的面板数据集验证了两种房东描述策略对每种消费者行为的不同影响。分别对客房预订和消费者满意度产生积极影响。房价调节主人描述和消费者行为之间的关系。高度策略可以促进高价房源的预订，但会降低满意度。该策略对低价房源的预订产生了积极影响。这项研究有助于旅游文献和房地产业主的实践。