Semantic Network Analysis of Domestic and Overseas Media Coverage Regarding Korea MERS

진나영,; 정정주,

doi:10.14696/jcs.2018.06.18.2.222

Cited by 6 publications

(3 citation statements)

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“…Shih and colleagues (2008), for instance, found that the coverage of epidemics showed common patterns across discrete diseases, such as a high event-base and emphasis on newly identified cases and government actions. With respect to the MERS crisis in Korea, Jin and Chung (2018) performed semantic network analysis of Korean and foreign media coverage of the crisis. They examined the most frequently used words (e.g., patient, hospital, infection, government, and case) and concluded that Korean media focused heavily on the number of cases and the government’s responses, consistent with Shih and colleagues’ findings (see Kwon, 2016, for similar findings).…”

Section: Past Research On the Role Of Media During Crisesmentioning

confidence: 99%

Amplifying Panic and Facilitating Prevention: Multifaceted Effects of Traditional and Social Media Use During the 2015 MERS Crisis in South Korea

Seo

2019

Journalism & Mass Communication Quarterly

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In the context of the 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea, this study examines the multifaceted effects of media use considering the current complex media environment. Analysis of a two-wave online panel survey found that traditional media use had a positive influence on MERS knowledge while social media use did not. However, knowledge did not facilitate preventive behaviors. In contrast, negative emotional responses due to media use stimulated desirable behaviors. Furthermore, social media use directly influenced behavioral responses but traditional media use did not show the same effects. Different functions of traditional and social media during an epidemic are discussed.

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Section: Past Research On the Role Of Media During Crisesmentioning

confidence: 99%

Amplifying Panic and Facilitating Prevention: Multifaceted Effects of Traditional and Social Media Use During the 2015 MERS Crisis in South Korea

Seo

2019

Journalism & Mass Communication Quarterly

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“…For example, Jeon and Lee [16] analyzed media coverage of contagious diseases using a corpus analysis, which revealed that most headlines used negative sentiment. Jin [17] used network analysis to study semantic associations in news reporting on the Middle East Respiratory Syndrome outbreak in 2015, finding differences in coverage by Korean and foreign news sources. In this study, text mining was employed to explore how New York Times editorials constructed stories concerning social distancing.…”

Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

Analyzing The New York Times Editorials on Social Distancing During the COVID-19 Pandemic

Won,

Yeo,

Park

2023

APJCRI

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The COVID-19 pandemic has profoundly affected our society, and the media has played a crucial role in shaping the public's understanding of the crisis. As a social institution, the media constructs and disseminates information about the pandemic, providing interpretations of the complexities of reality such as social distancing. To examine how media construct stories about social distancing during the pandemic, this study analyzed The New York Times editorial articles published during the COVID-19 pandemic. Utilizing word-association network analysis and cluster analysis based on Convergence of Iterated Correlations analysis, this study examined 653 editorials published in The New York Times regarding social distancing in the period spanning January 27, 2020, to January 4, 2023. The word-association network analysis revealed that the most salient keywords in the editorials were "COVID", "People", and "Virus." Cluster analysis identified four major discussions constructed in the text: "The Impact of Science and Politics on Public Benefit," "Challenges of the COVID-19 Pandemic," "Government Responses to Combat the Spread of the COVID-19," and "Impact of the COVID-19 on Daily Lives in New York." The findings indicated that the most frequently employed keywords revolved around the pandemic and the associated governmental responses. Furthermore, the media narratives concerning social distancing were predominantly framed around the salience of government interventions, scientific strategies, and the role of social distancing.

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“…In the follow up interviews, the reporters suggested that the overheated competition among the press companies excelled the use of provocative expressions in news reporting. Jin and Chung [10] also analyzed the semantic associations based on a network analysis of the words in news reporting about the Middle East Respiratory Syndrome (MERS) outbreak in 2015. Based on their analysis of news styles and semantic associations among Korean and foreign news reporting, the researchers concluded that Korean news reporting often focused on the "effects" and "danger" of MERS while foreign news reporting contained more information on the "contagion" process and "preventive behavior" as well as relevant world news.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Exploring Media Depiction of “Social Distancing” during COVID-19 using Topic Modeling and Word Correlation

Yeo¹,

Park²,

Lee³

2021

APJCRI

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This study examined how English-language newspapers in South Korea depicted "social distancing" during the COVID-19 pandemic, using text mining techniques such as word-correlation analysis and topic modeling. The data consisted of 2,463 news articles published from January 20, 2020 to January 13, 2021 in the two major English-language newspapers in South Korea -The Korean Times and The Korea Herald. For analysis, the researchers extracted sentences that contained "social distancing" to make a corpus. The corpus contained 4,566 sentences. For topic modeling analysis, this study used Latent Dirichlet Allocation (LAD) which views each document as a mixture of topics, then considers each topic a mixture of words. The word-correlation was calculated at the sentence-level, not at the article-level. In other words, the correlation values between "social distancing" and other words were calculated based on how frequently "social distancing" and the words co-occurred in the same sentences. In the analysis, the data was grouped according to five time-periods that were proposed by the Korea Disease Control and Prevention Agency (KDCA) based on the major changes in COVID-19 situations. Results indicated that media coverage related to "social distancing" focused on two distinctive topics: "spread and prevention" and "social impact." Also, the word-correlation analysis showed that "social distancing" was more associated with "spread and prevention" than with "socialimpact" of the pandemic. The findings of the study suggest a couple of implications: (1) The paradoxical social meaning of "social distancing" is apparent in the media depictions of COVID-19 (2) The media depiction of "social distancing" needs to provide more in-depth interpretations of "social distancing" concerning its impact on society.

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Semantic Network Analysis of Domestic and Overseas Media Coverage Regarding Korea MERS

Cited by 6 publications

References 0 publications

Amplifying Panic and Facilitating Prevention: Multifaceted Effects of Traditional and Social Media Use During the 2015 MERS Crisis in South Korea

Amplifying Panic and Facilitating Prevention: Multifaceted Effects of Traditional and Social Media Use During the 2015 MERS Crisis in South Korea

Analyzing The New York Times Editorials on Social Distancing During the COVID-19 Pandemic

Exploring Media Depiction of “Social Distancing” during COVID-19 using Topic Modeling and Word Correlation

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