News media’s framing of health policy and its implications for government communication: A text mining analysis of news coverage on a policy to expand health insurance coverage in South Korea
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DOI: 10.1016/j.healthpol.2019.07.011
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References listed on IDEAS
- Margaret Roberts & Brandon Stewart & Tingley, Dustin, 2014. "stm: R Package for Structural Topic Models," Working Paper 176291, Harvard University OpenScholar.
- Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
- Kim, Hongsoo & Jung, Young-Il & Kwon, Soonman, 2015. "Delivery of institutional long-term care under two social insurances: Lessons from the Korean experience," Health Policy, Elsevier, vol. 119(10), pages 1330-1337.
- Government of India, 2017. "National Health Policy 2017," Working Papers id:11664, eSocialSciences.
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- Lee, Seungpeel & Kim, Jina & Kim, Dongjae & Kim, Ki Joon & Park, Eunil, 2023. "Computational approaches to developing the implicit media bias dataset: Assessing political orientations of nonpolitical news articles," Applied Mathematics and Computation, Elsevier, vol. 458(C).
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Keywords
Mooncare; Framing; Meaning making; Text mining; Government communication;All these keywords.
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