The main factors affecting cultural exchange between Korea and China: A semantic network analysis based on the cultural governance perspective

Park, Sang Do; Lee, Jong Youl; Wang, Bo

doi:10.1016/j.ijintrel.2019.04.005

Cited by 9 publications

(10 citation statements)

References 49 publications

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“…The statistical software R was utilized for all these procedures. Overall analytic procedures were conducted in accordance with the Korean natural language process (NLP), except for scientific articles, since most of the documents were written in Korean [40,41].…”

Section: Topic Modelingmentioning

confidence: 99%

Cross-Societal Analysis of Climate Change Awareness and Its Relation to SDG 13: A Knowledge Synthesis from Text Mining

Hwang

Lee

et al. 2021

Sustainability

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The awareness and the engagement of various stakeholders play a crucial role in the successful implementation of climate policy and Sustainable Development Goals (SDGs). SDG 13, which refers to climate action, has three targets for combating climate change and its impact. Among the three targets, SDG 13.3 aims to “improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction, and early warning”. This target should be implemented based on the understanding of climate change awareness among various groups of societies. Furthermore, the indicator related to awareness-raising is absent in SDG 13.3. Hence, this study aims to explore the differences in climate change awareness among various social groups within a country from a text mining technique. By collecting and analyzing a large volume of text data from various sources, climate change awareness was investigated from a multilateral perspective. Two text analyses were utilized for this purpose: Latent Dirichlet Allocation (LDA) topic modeling and term co-occurrence network analysis. In order to integrate and comparatively analyze the awareness differences among diverse groups, extracted topics were compared by classifying them into four indicators derived from the detailed targets in SDG 13.3: mitigation, adaptation, impact reduction, and early warning. The results show that the Korean public exhibited a relatively high awareness of early warning compared to the other four groups, and the media dealt with climate change issues with the widest perspective. The Korean government and academia notably had a high awareness of both climate change mitigation and adaptation. In addition, corporations based in Korea were observed to have substantially focused awareness on climate change mitigation for greenhouse gas reduction. This research successfully explored the disproportion and lack of climate change awareness formed in different societies of public, social, government, industry, and academic groups. Consequently, these results could be utilized as a decision criterion for society-tailored policy formulation and promoting climate action. Our results suggest that this methodology could be utilized as a new SDG indicator and to measure the differences in awareness.

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Section: Topic Modelingmentioning

confidence: 99%

Cross-Societal Analysis of Climate Change Awareness and Its Relation to SDG 13: A Knowledge Synthesis from Text Mining

Hwang

Lee

et al. 2021

Sustainability

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“…Among these materials, the language network is established based on the language text that expresses various issues and agendas and actors' interest in alternatives. This network enables multiple interpretations according to the semantic relationships between subject matter keywords or emotional keywords, such as opinions, attitudes, feelings, and tone, selected from the collection of the language texts describing specific positions on major issues and alternatives [62].…”

Section: Methodsmentioning

confidence: 99%

Network Analysis of Actors and Policy Keywords for Sustainable Environmental Governance: Focusing on Chinese Environmental Policy

2019

Self Cite

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“…To select the words to be studied, we applied the term frequency-inverse document frequency (TF-IDF) technique. The higher the frequency of a word and the lower the number of documents containing the word are, the higher the TF-IDF value the word has [86]. A word with a low TF-IDF value shows that the word is common across the data but has no distinguishable influence between the documents.…”

Section: Semantic Network Analysismentioning

confidence: 99%

“…In the network analysis, the prominence of words was evaluated with the degree centrality of each word. Degree centrality measures how a node is related to other nodes [86] and is effective for identifying the important words in a network [87].…”

Section: Semantic Network Analysismentioning

confidence: 99%

“…This method divides nodes into groups based on structural equivalence, which is determined by the extent to which the words have identical relationships with other words [15]. The themes and subthemes of each group were determined by the words within the group [86], and their meanings were interpreted with reference to the links of the words and the documents that contain the words [88].…”

Section: Semantic Network Analysismentioning

confidence: 99%

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Cross-National Study on the Perception of the Korean Wave and Cultural Hybridity in Indonesia and Malaysia Using Discourse on Social Media

et al. 2020

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In the era of globalization, due to the prevalent cultural exchange between countries, inflows of foreign cultural products can enrich local culture by hybridizing local and global culture together. Although there have been numerous studies on cultural hybridity using qualitative interviews with recipients of foreign cultural products in single countries, cross-national studies that examine the national characteristics that facilitate or impede cultural hybridity remain scarce. The purpose of the present study is to identify the factors that promote or hinder cultural hybridity between the Korean Wave and Muslim culture by probing the similarities and differences in social media data on Korean cultural products between Indonesia and Malaysia using a semantic network analysis. The results of the study uncovered the three factors that promote cultural hybridity (‘Asian identity’, policies emphasizing ‘unity in ethnic diversity’, and ‘local consumers xenocentrism’) and the two hindering elements (‘a conservative nature of religion’ and ‘discrimination between ethnic groups’). Theoretical contributions and practical implications are also provided for promoting cultural hybridity.

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The main factors affecting cultural exchange between Korea and China: A semantic network analysis based on the cultural governance perspective

Cited by 9 publications

References 49 publications

Cross-Societal Analysis of Climate Change Awareness and Its Relation to SDG 13: A Knowledge Synthesis from Text Mining

Cross-Societal Analysis of Climate Change Awareness and Its Relation to SDG 13: A Knowledge Synthesis from Text Mining

Network Analysis of Actors and Policy Keywords for Sustainable Environmental Governance: Focusing on Chinese Environmental Policy

Cross-National Study on the Perception of the Korean Wave and Cultural Hybridity in Indonesia and Malaysia Using Discourse on Social Media

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