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Subject

Examining Economic Activities of Disabled People Using Media Big Data: Temporal Trends and Implications for Issue Detection
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언론 빅데이터를 이용한 장애인 경제활동 분석: 키워드의 시기별 동향과 이슈 탐지를 위한 시사점

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Type
Academic journal
Author
Dong Sub Won (영남대학교) Han Woo Park (영남대학교)
Journal
Korea Academy Industrial Cooperation Society Journal of the Korea Academia-Industrial cooperation Society Vol.22 No.2 KCI Accredited Journals
Published
2021.2
Pages
548 - 557 (10page)

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Examining Economic Activities of Disabled People Using Media Big Data: Temporal Trends and Implications for Issue Detection
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Abstract· Keywords

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The purpose of this study was to determine the statistical usefulness of using atypical text data collected from media that are easy to collect to overcoming limits of the existing data related to economic activities of disabled people. In addition, by performing semantic network analysis, major issues by period that could not be grasped by statistical analysis were also identified. As a result, semantic network analysis revealed that the initiative of the public sector, such as the central and local government bodies, was strongly shown. On the other hand, in the private purchase sector, it was also possible to confirm the consumption revitalization trend and changes in production activities in the recent issue of Covid-19. While the term “priority purchase” had a statistically significant relation with the other two terms “vocational rehabilitation” and “employment for the disabled”. For the regression results, while the term “priority purchase” had a statistically significant association with the other two terms “vocational rehabilitation” and “employment for the disabled”. Further, some statistical analyses reveal that keyword data taken from media channels can serve as an alternative indicator. Implications for issue detection in the field of welfare economy for the disabled is also discussed.

Contents

요약
Abstract
1. 서론
2. 선행연구 검토
3. 연구방법
4. 연구 결과
5. 결론
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