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  1. 11 sty 2022 · This paper identifies ways of sharing travel experiences by tourists on social media. The research was conducted in Poland on a sample of 271 respondents from each generation using...

  2. 1 lut 2024 · Our findings offer useful insights for travel and tourism brands seeking to boost community engagement on their social media platforms through content, consumption, contribution and creation. The results of the present study serve as a foundation for firms with a digital presence to make informed decisions related to TCE.

  3. 1 mar 2023 · This research explains the effectiveness of behavioral intervention approaches to manage the impacts of social media-induced tourism by analyzing four destination strategies that have addressed photographic practices: 1) Vienna, Austria, 2) Faroe Islands, 3) Yellowstone National Park, USA, and 4) Gion District of Kyoto, Japan.

  4. 23 gru 2020 · Positive perceived social impacts of tourism include community benefits, increased community pride and value, cultural exchanges, community participation, sharing cultural knowledge; some common negative impacts are increase in vandalism and crime, alcohol abuse, prostitution (Joo et al., Citation 2019; Ribeiro, et al., Citation 2017; Nunkoo et ...

  5. 1 kwi 2014 · Research into social media in tourism might find new interests in four main directions: community engagement, comprehensive marketing strategies, differentiated destination management, and the legal and ethical issues arising from using social media in tourism.

  6. 11 sty 2022 · Information provided via social media (SM) by both residents and tourists can help restart tourism. This paper identifies ways of sharing travel experiences by tourists on social media. The research was conducted in Poland on a sample of 271 respondents from each generation using questionnaires.

  7. Research findings reveal that social media usage contributes to overtourism through the mediating effect of tourist flow concentration, even though the influence is weak. Consequently, only 10.2% of the variance in overtourism is explained by the model, suggesting a weak effect of social media usage on overtourism.