A Topic Modeling Analysis on the Major Social Issues of the Students’ Human Rights Ordinance in Korea

Park, Hyun-Jeong; Kim, Hanna; Hong, Yujung

doi:10.15753/aje.2017.12.18.4.683

Cited by 2 publications

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“…The 177,020 editorials retrieved from the seven newspapers were sorted and grouped by title, text, issue date, newspaper, and keyword. Due to copyright issues, BigKinds separately provides text data (200 words) and keywords (all nouns and noun phrases in the full content) (Park 2016; Park et al 2017). We employed editorial text and keywords in analyzing the content.…”

Section: Methodsmentioning

confidence: 99%

Media and the Meanings of Land: A South Korean Case Study

Shin¹,

Boonjubun²

2021

American J Econ Sociol

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How land and property are treated has changed through history: from commons to commodities and financial assets. Nevertheless, studies on how the media contribute to this process are rare. Based on Anne Haila's concept of "property mind" and the idea of "the culture of property," this article analyzes how the media have framed the meanings of land and reflected on the treatment of land. We analyzed editorials on land, housing, and properties from seven South Korean newspapers over a 30-year period using a structural topic model (STM). The results demonstrate that the media have played a vital role in contributing to the promotion of the private land tenure system and "the property mind" in South Korea, particularly since the late 1990s. Despite the recent trends that have intensified around market-oriented topics, we also found that liberal and conservative newspapers can be quite different in how they shape "the culture of property."

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Section: Methodsmentioning

confidence: 99%

Media and the Meanings of Land: A South Korean Case Study

Shin¹,

Boonjubun²

2021

American J Econ Sociol

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“…첫 번째는 이슈에 대한 사회적 관심도를 계량화하여 이슈관심주기를 분석하는 연구이다 (Kim, 2017;Park, 2005;Park, 2014). 이들 연구는 운형 함수 방법론을 적용하여 Downs(1972) (Lee, 2017;Park et al, 2017;Yang et al, 2016) (Park, 2014).…”

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Issue analysis on sexual violence case in sport field reported in the press: Spline function model and text mining application

Yun¹

2021

Korean J Sport Sci

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Purpose The purpose of this study is to analyze issues of sexual violence case in sports field reported in the press by using spline function model and text mining. In specific, spline function model is used to measure social interest level based on issue attention cycle theory and figure out the flow of issues by applying text mining. Methods Study material is 2,660 news articles reported from January 1, 2017 to December 31, 2019 and press DB(Big Kinds) of Korea Press Foundation is used to collect study material. Results Social interest level on sexual violence case in sports field is dramatically increased due to disclosure of Sim player starting from Me Too movement started from the culture and art world. Because of this, as structural problem in sports field arises, social interest level comes to a climax, and then it was founded that the government’s countermeasures establishment and special audits by the Ministry of Education were in progress. From the perspective of the issue attention cycle, it has the stages of latent-occurrence-rising-decision-decay-disappearance, but the period from rising to declining is short, so it corresponds to a breaking issue attention cycle. Conclusion This study examines the progress of sexual violence case in sports field from rising to disappearance in the perspective of the issue attention cycle. With this incident, the world of sports is establishing sports ethics center and proceeding policies such as Basic Sports Act, and the future studies need to review the effectiveness of this policy.

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A Topic Modeling Analysis on the Major Social Issues of the Students’ Human Rights Ordinance in Korea

Cited by 2 publications

References 0 publications

Media and the Meanings of Land: A South Korean Case Study

Media and the Meanings of Land: A South Korean Case Study

Issue analysis on sexual violence case in sport field reported in the press: Spline function model and text mining application

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