During the last 20 years, with the development of Information and Communication Technologies (ICTs), an emerging interest has appeared in Digital Community Engagement (DCE) in the process of cultural heritage management. Due to a growing need to involve a broader community in the Historic Urban Landscape approach, social media are considered one of the most important platforms to promote the public participation process of urban heritage conservation in the context of rapid urbanization. Despite the growing literature on DCE, which has delivered a general overview of different digital technologies and platforms to enhance heritage conservation, little research has been done on taking stock of the utilization of social media in this process. This study aims to fill the research gap by providing a more comprehensive picture of the functionalities of social media platforms and their impacts on sustainable urban development through a systematic literature review. As a result, 19 out of 248 DCE relevant articles are selected as objects to illustrate the contribution of social media. The study identified the characteristics of these applied social media tools, explores their roles and influences in cases. The article concludes that social media offers a platform for a wider range of stakeholders to have a voice in the decision process of cultural heritage management, and it should be widely applied to encourage citizens from all over the world.

Traditional villages are a valuable cultural asset that occupy an important position in Chinese traditional culture. This study focuses on 206 traditional villages in Hebei Province and aims to explore their spatial distribution characteristics and influencing factors using ArcGIS spatial analysis. The analysis shows that traditional villages in Hebei Province were distributed in clusters during different historical periods, and eventually formed three core clusters in Shijiazhuang, Zhangjiakou and Xingtai-Handan after different historical periods. Moreover, the overall distribution of traditional villages in Hebei Province is very uneven, with clear regional differences, and most of them are concentrated in the eastern foothills of the Taihang Mountains. To identify the factors influencing traditional villages, natural environmental factors, socio-economic factors, and historical and cultural factors are considered. The study finds that socio-economic and natural environmental factors alternate in the spatial distribution of traditional villages in Hebei Province. The influence of the interaction of these factors increases significantly, and socio-economic factors have a stronger influence on the spatial distribution. Specifically, the spatial distribution of traditional villages in Hebei Province is influenced by natural environmental factors, while socio-economic factors act as drivers of spatial distribution. Historical and cultural factors act as catalysts of spatial distribution, and policy directions are external forces of spatial distribution. Overall, this study provides valuable insights into the spatial distribution characteristics and influencing factors of traditional villages in Hebei Province, which can be used to develop effective strategies for rural revitalisation in China.

The assessment of public participation is one of the most fundamental components of holistic and sustainable cultural heritage management. Since the beginning of 2020, the COVID-19 pandemic became a catalyst for the transformation of participatory tools. Collaboration with stakeholders moved online due to the strict restrictions preventing on-site activities. This phenomenon provided an opportunity to formulate more comprehensive and reasonable urban heritage protection strategies. However, very few publications mentioned how social networking sites’ data could support humanity-centred heritage management and participatory evaluation. Taking five World Cultural Heritage Sites as research samples, the study provides a methodology to evaluate online participatory practices in China through Weibo, a Chinese-originated social media platform. The data obtained were analysed from three perspectives: the users’ information, the content of texts, and the attached images. As shown in the results section, individuals’ information is described by gender, geo-location, celebrities, and Key Opinion Leaders. To a greater extent, participatory behaviour emerges at the relatively primary levels, that being “informing and consulting”. According to the label detection of Google Vision, residents paid more attention to buildings, facades, and temples in the cultural heritage sites. The research concludes that using social media platforms to unveil interplays between digital and physical heritage conservation is feasible and should be widely encouraged.

Traditional villages constitute a significant component of China’s rural heritage. In the context of national efforts to achieve sustainable rural revitalization, there is a lack of comprehensive assessments of rural vitality that can evaluate the balance between the competing demands of heritage conservation and rural development. This study addresses this gap by introducing an innovative evaluation index system, the rural vitality assessment (RVA). The RVA comprehensively evaluates both protective and developmental aspects while integrating natural and cultural ecological factors. This study leverages data from 206 traditional villages in Hebei Province and employs a hybrid model that combines subjective evaluations collected through interviews and questionnaires with spatial data analysis. This study shows that over 90% of traditional villages in Hebei Province exhibit an imbalance between protection and development, which could lead to gradual deactivation. Additionally, the spatial distribution of RVA outcomes shows polarization, with higher levels observed in the north and lower levels in the south. This study concludes that the RVA framework is an effective tool for analyzing the vitality level, spatial distribution, and disadvantage indicators of villages at different zoning levels. The results can provide a reference for the formulation of targeted heritage protection and development planning strategies and further aid in the rational allocation of resources, helping to narrow the development gap between urban and rural areas.

Traditional villages constitute a significant component of China's rural heritage. In the context of national efforts to achieve sustainable rural revitalisation, there is a lack of comprehensive assessments of rural vitality that can evaluate the balance between the competing demands of heritage conservation and rural development. This study aims to address the gap by defining an evaluation index system, Rural Vitality Assessment (RVA), which comprehensively assesses both protective and developmental aspects while taking into account natural and cultural ecological factors. The study utilizes data from a total of 206 traditional villages located in Hebei Province and employs a model to classify and analyze both subjective evaluations collected by interview and questionnaire alongside objective data. The framework employed a combined weighting method to determine appropriate indicator weights, thus facilitating quantitative evaluation of the data obtained. The study shows that over 90% of traditional villages in Hebei Province exhibit an imbalance between protection and development, which could lead to gradual deactivation. Additionally, the spatial distribution of RVA outcomes shows polarization, with higher levels observed in the north and lower levels in the south. The study concludes that the RVA framework is an effective tool for analysing the vitality level, spatial distribution, and disadvantage indicators of villages at different zoning levels. The results can provide a reference for the formulation of targeted heritage protection and development planning strategies and further aid in the rational allocation of resources, helping to narrow the development gap between urban and rural areas.

China is undertaking effective actions to adhere to wider international standards with better consideration of the notion of authenticity, collective memory, identity, and the sense of belonging. Besides the traditional participatory management discussions, scholars are also interested in finding out how the ICTs can encourage and enable new forms of engagement with heritage in different cultural contexts. The article offers an innovative approach to understanding the value of community participation in order to obtain a more sustainable way for integrative approaches in cultural heritage management. It focuses on the identification of criteria for the evaluation of Digital Community Engagement (DCE) and proposes the multivariate evaluation model based on the online questionnaires and face-to-face interviews. The result shows that the transparency of the restoration process, the possibility of adopting bottom-up suggestions, and the coherency with the residents’ interests are the most important factors to influence the Willingness to Participate and the Willingness to Pay. The analysis based on theme-coding is essential to understand the opinions of various stakeholders with different educational and professional backgrounds. It concludes that multi-disciplinary and value-based methods should be encouraged as an exploratory way of enhancing community engagement in the specified urban heritage context.