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Resilience communication is a fundamental tool for destinations to improve their image and recover after a crisis. Social media are also important tools for tourism communication and for creating tourist experiences and destination image. Therefore, social media are key tools for crisis communication. Based on a series of hypotheses, this paper proposes a conceptual model of crisis communication management that responds to the need to establish a set of premises related to resilience communication in the tourism sector. The empirical analytical study consisted of the quantitative analysis of the results of a survey questionnaire applied to test the hypotheses based on the formulation of a structural equation model. The results demonstrate the importance of social media communication in Perceived Health Risk (PHR) and its effect on perceived impressions, destination image, and related behavioral responses (Destination Recommendation, DR, and Visit Intention, VI). The four hypotheses in the research model have been confirmed, as the effects are statistically significant in a sample of posts analyzed, and the selected items explain every one of the factors. Specifically, the analysis shows that PHR negatively affects Destination Image (DI) and, in a stronger way, Post Impression (PI). Secondly, PI and DI influence one another and covary to some extent. Moreover, the overall DI, which has been affected by PHR, in turn affects DR and VI, demonstrating that PHR in communication ultimately influences DR and VI negatively too. Finally, is also verified both DR and VI are related and covary as intrinsic behavioral aspects related to DI. Resilience communication is a basic tool for destinations to improve their image and recover after a crisis and this research contributes to the literature on the subject by analyzing the impact of this communication on tourists, and specifically on destination image. [ABSTRACT FROM AUTHOR]

The design of gastronomic experiences based on consumer opinion (co-creation) can contribute to improving the online gastronomic image and the overall image of destinations. By evaluating and sharing their experience on social media, the visitor expresses different levels of satisfaction and loyalty towards the destination. This user-generated content (UGC) represents useful information for analysing the perception of gastronomic experiences and the formation of online gastronomic images. The semiotic model used here considers three semantic aspects of the gastronomic image to analyse gastronomic experiences through big data analytics. The model was applied to two regions with different gastronomic cultures: Taiwan (Asia) and Catalonia (Europe) and four types of experiences. A total of 17,214 online travel reviews (OTRs) from 2008 to 2019 were selected from TripAdvisor's 'things to do' section, which includes various tours and gastronomic activities that are different from typical dining experiences in restaurants. The results highlight the growth of OTRs before the COVID-19 pandemic, the high satisfaction of the participants in the reviewed activities, and differences in popularity and attractiveness according to activity, category and region. The findings also showcase notable differences in destination branding and marketing strategies between the regions. [ABSTRACT FROM AUTHOR]