Government-Civic Group Conflicts and Communication Strategy: A Text Analysis of Tv Debates on Korea's Import of U.S. Beef

Cho, Seong Eun; Choi, Myunggoon; Park, Han Woo

doi:10.17477/jcea.2012.11.1.001

Cited by 38 publications

(16 citation statements)

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“…Second, I use the CONCOR matrix (correlation or eigenvalue) to determine the similarities and patterns of relationships between the row vectors of each node [51,61]. The CONCOR analysis is performed to identify semantic clustering in the entire network surrounding the topic, to discover hidden subgroups, and to explore the relationships between the groups [62,63]. In this study, SNA is performed based on the correlation matrix between words.…”

Section: Results Of Snamentioning

confidence: 99%

The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

Park

2018

Sustainability

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This study examines the effect of the foreign direct investment (FDI)-human capital and R&D-human capital interactions (FDIHC and RDHHC) on Chinese development between 1991 and 2015. Based on endogenous growth theory, the study focuses on FDI, R&D, and human capital as important factors for sustained economic growth; the interactions among factors are set as the main variables affecting economic growth (GDP). In particular, this study attempts a two-step empirical analysis. First, data mining and semantic network analysis (SNA) are performed using variables as keywords; reliability and realism are reflected as variables. Second, using the vector error correction model (VECM), the study analyzes short and long run mutual influences between variables. The results show that, in data mining and SNA with FDI and R&D as keywords, words related to human capital show high frequency, centrality, and clustering. This finding implies that FDIHC and RDHHC have robustness as variables and can be used as interaction variables. According to the VECM results, FDIHC and RDHHC have positive influences on GDP in the short and long run. The results of a variance decomposition test show that RDHHC has strong mid-to long-run impacts on GDP, FDIHC, and R&D itself.

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Section: Results Of Snamentioning

confidence: 99%

The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

Park

2018

Sustainability

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“…Do they represent forums for the public to freely and openly discuss important international issues of the day or something less significant, such as news about celebrities and international sporting events? The meanings of the various postings may be determined through the use of semantic network analysis (Cho, Choi, & Park, 2012;Hsu, Park, & Park, 2013;Danowski & Park, 2014;Jiang et al, 2016), which has been shown to facilitate the interpretation of media messages.…”

Section: Discussionmentioning

confidence: 99%

Measuring international relations in social media conversations

Barnett

Chu

et al. 2017

Government Information Quarterly

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a b s t r a c t a r t i c l e i n f oThis paper examines international relations as perceived by the public in their social media conversations. It examines over 1.8 billion Facebook postings in English and 51 million Chinese posts on Weibo, to reveal the relations among nations as expressed in social media conversations. It argues that social media represent a transnational electronic public sphere, in which public discussions reveal characteristics of international relations as perceived by a foreign public. The findings show that the international relations in social media postings match the core-peripheral structure proposed in the World Systems Theory. Additionally, the relations are associated with the amount of news coverage and public attention a country receives. Overall, the study demonstrates the value of webometric data in revealing how international relations are perceived by average citizens.

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“…Finally, we constructed a CONCOR matrix using UCINET software and applied it to the network to confirm clusters between words. We conducted CONCOR semantic network analysis to identify semantic clustering, discover hidden subgroups and explore relationships among each group [115].…”

Section: Appendix Ementioning

confidence: 99%

Who Drives the Transition to a Renewable-Energy Economy? Multi-Actor Perspective on Social Innovation

Sung

Park

2018

Sustainability

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This study examines how various actors influence the transition to a renewable-energy economy. We employ a conceptual framework derived from a literature review and text-mining analysis and establish a panel data model for an empirical test using unbalanced panel data from 25 member countries of the Organization for Economic Co-operation and Development (OECD), for the period from 1990 to 2014. We establish a panel vector autoregressive (VAR) model in the first differences and use a bias-corrected least squares dummy variable (LSDVC) estimator to test complex dynamic relationships between government, the public, markets, the traditional energy sector (i.e., the sector that uses nuclear power, oil, coal and natural gas as sources for electricity) and the contribution of renewables to the total energy supply. We also perform Wald tests on the coefficients of variables estimated by LSDVC estimator to determine causal relationships between the variables. The results of this study reveal that government and markets directly promote the transition to renewable energy, whereas the traditional energy sector negatively and directly affects the transition. By contrast, the public does not directly influence the transition to a renewable-energy economy. This study also shows that the government and public have positive indirect effects on the transition, by interacting with the market. We also find convincing evidence of significant dynamic-path dependence in all estimations. Finally, we discuss some implications based on the findings of this study.

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Government-Civic Group Conflicts and Communication Strategy: A Text Analysis of Tv Debates on Korea's Import of U.S. Beef

Cited by 38 publications

References 3 publications

The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

Measuring international relations in social media conversations

Who Drives the Transition to a Renewable-Energy Economy? Multi-Actor Perspective on Social Innovation

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