Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media

Qiu, Qihang; Zhang, Mu

doi:10.3390/ijgi10040240

Cited by 42 publications

(21 citation statements)

References 52 publications

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“…Rapid economic growth, may result in divergence between cultural heritage conservation and development. Qiu, Q and Zhang, M [11] and Jung, K et al [12] argue ISPRS Int. J. Geo-Inf.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Cultural Landscape Remediation Design Based on VR Technology

Lin

Zhang

Tang

et al. 2021

IJGI

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Due to the recent excessive pursuit of rapid economic development in China, the cultural heritage resources have been gradually destroyed. This paper proposes cultural recovery and ecological remediation patterns, and adopts virtual reality (VR) technology to evaluate the visual aesthetic effect of the restored landscape. The results show that: (1) the average vegetation coverage increased, providing data support for remediation design evaluation; and (2) the fixation counts and average saccade counts of the subjects increased after the remediation design, indicating that the restored cultural landscape reduced visual fatigue and provided a better visual aesthetic experience. Furthermore, the comparative analysis of the quality of the water environment shows that the remediation design project improved the ecological environment quality of the relics area. The results of this study will contribute to rural revitalization in minority areas in southwest China.

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“…Rapid economic growth, may result in divergence between cultural heritage conservation and development. Qiu, Q and Zhang, M [11] and Jung, K et al [12] argue ISPRS Int. J. Geo-Inf.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Cultural Landscape Remediation Design Based on VR Technology

Lin

Zhang

Tang

et al. 2021

IJGI

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“…Traditional opera art has been dramatically affected by the impact of foreign opera art. Colleges and universities innovate teaching methods in opera teaching and integrate folk diet and opera art to generate a variety of opera artworks [13]. Several current Zaju in China endow the leading spirit to the drama, weaken the drama plot and contradiction, fully reflect the style of the times of Zaju, and become a typical representative in the history of Chinese drama [14].…”

Section: Related Workmentioning

confidence: 99%

Creation of Drama Art Based on Deep Learning and Evolution Strategy

Tang

2022

Scientific Programming

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The rapid development of information technology has promoted the growth of deep learning, artificial intelligence, and big data technology. Nowadays, the artistic form of traditional opera creation is accepted and respected by people—more and more people like the art form. However, the artistic creation of traditional opera needs inspiration. The essence of inspiration creation is to reconstruct its objective structure. The deep learning algorithm’s essence is to extract all of the attributes of sample self-learning input data and use them as inspiration for artistic production. First, this paper briefly introduces the deep learning and evolution strategy and uses these algorithms in opera art creation to construct 1 + λ. With the help of this evolutionary algorithm, an optimal solution is obtained through random evolution. The evolution strategy establishes the evolution function matrix. Starting from the situation of students learning opera art, this article examines the process of creating opera art using an in-depth learning and evolution technique. The results show that 96 percent of the students have contact with opera while watching an opera tour. During this, they were not interested in the performance of literary drama in traditional opera. However, it was noticed that they were deeply interested in martial arts, clown performances, and drama stage performances. Finally, the audience group of opera artistic creation is analyzed in the form of opera animation of “A Journey to the West: The Return of the Great Sage.” It signifies that the opera’s leading audience group is aged 25 to 29. However, they account for only 30 percent.

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“…The connotation of Dong culture is broad, profound and colorful, and its own huge cultural value deserves our serious consideration and experience (Li, 2014). Social media sites offer a variety of communication-free ways for users to express their opinions freely online (Qiu & Zhang, 2021). The use of information and communication technologies has influenced the evolution of cultural heritage transmission.…”

Section: Background Of Researchmentioning

confidence: 99%

The Effect of Social Media on Dong People Ethnic Culture in Guangxi Province

Mo¹,

Ibrahim²

2022

JHASS

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The aim of this research is to better understand the impact of social media on how Dong cultural communication uses it as a tool for interconnectedness. The purpose of this chapter is to understand and analyze the survey respondents regarding the use and value of their perceptions of social media affecting Dong culture. As a medium for disseminating Dong culture, social media provides different research contents from commodity trade, tourism, school education, and population migration as factors affecting the dissemination of Dong culture. Young people of Dong use social media to spread Dong culture. The media can also be a place to express opinions on Dong culture. These areas of investigation were explored by distributing questionnaires to the Dong area of Guangxi and using the online survey link on the Wenjuanxing website. The result of this research will also reveal other aspects that influence the spread of Dong culture, especially social media, in order to better understand the reasons that influence the spread of Dong culture. Survey questions for the present research were taken and modified from previous research to account for the impact of social media on Dong culture, which has gained enormous popularity over the past decade and now has millions of users (Luttrell, 2018).

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Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media

Cited by 42 publications

References 52 publications

Evaluating Cultural Landscape Remediation Design Based on VR Technology

Evaluating Cultural Landscape Remediation Design Based on VR Technology

Creation of Drama Art Based on Deep Learning and Evolution Strategy

The Effect of Social Media on Dong People Ethnic Culture in Guangxi Province

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