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An Analysis of a Repetitive News Display Phenomenon in the Digital News Ecosystem

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  • Kyu Tae Kwak

    (Department of Global Culture Industry, Soonchunhyang University, Asan 31538, Korea)

  • Seong Choul Hong

    (Department of Media and Visual Arts, Kyonggi University, Seoul 03746, Korea)

  • Sang Woo Lee

    (Graduate School of Information, Yonsei University, Seoul 03722, Korea)

Abstract

In South Korea, approximately 88.5% of online users have obtained news and information from news aggregators such as Naver and Daum. Since most users read news on the internet, a new type of tabloid journalism, referred to as “news abuse,” has emerged in South Korea. “News abuse” is jargon used in South Korea to mean the repetitive display of news by online news publishers. “News abuse” is similar to “clickbait” in its use of clickbait headline links to attract online users’ attention and encourage them to click on links. This study explores the characteristics of news abusing phenomena in South Korea. With content analysis of 2101 articles (609 stories for soft news and 1402 stories for hard news), we attempt to investigate when news abuse saliently occurs and to whom news abusing is attributed. Our results show that news abuse is prevalent among South Korean newspapers during the first three hours after initial news reports are made and when people have time to rest after lunch between noon and 3 p.m. Moreover, the highest percentage of news abuse of soft news was found among tabloid daily newspapers, while that of hard news was found among daily newspapers. In addition, intermedia news abuse was more frequently utilized than intramedia news abuse. The percentage of intermedia abuse, in particular, was higher in general daily newspapers and business newspapers than in other news media platforms. By contrast, the percentage of intramedia news abuse was significantly higher in 24-h news channels. News abuse may be a side effect of news aggregation in the division of labor of news production and news distribution. More steps are required to decrease news abuse, which will lead to maintenance of a healthy digital news ecosystem and development of the news aggregation business.

Suggested Citation

  • Kyu Tae Kwak & Seong Choul Hong & Sang Woo Lee, 2018. "An Analysis of a Repetitive News Display Phenomenon in the Digital News Ecosystem," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4736-:d:189942
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    References listed on IDEAS

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    1. Elena-Teodora Miron & Anca Alexandra Purcarea & Olivia Doina Negoita, 2018. "Modelling Perceived Risks Associated to the Entry of Complementors’ in Platform Enterprises: A Case Study," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    2. Lesley Chiou & Catherine Tucker, 2017. "Content aggregation by platforms: The case of the news media," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(4), pages 782-805, December.
    3. Simon Bell & Stephen Morse, 2018. "Sustainability Indicators Past and Present: What Next?," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
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    Cited by:

    1. Santiago Alonso García & Gerardo Gómez García & Mariano Sanz Prieto & Antonio José Moreno Guerrero & Carmen Rodríguez Jiménez, 2020. "The Impact of Term Fake News on the Scientific Community. Scientific Performance and Mapping in Web of Science," Social Sciences, MDPI, vol. 9(5), pages 1-16, May.
    2. Min Ho Ryu & Jieun Park & Kyu Tae Kwak, 2020. "Joint Ventures between Online Portals and News Publishers: Will they be an Alternative to Symbiosis?," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    3. Yunhyoung Kim & Jeonghoon Mo, 2018. "Pricing of Digital Video Supply Chain: Free versus Paid Service on the Direct Distribution Channel," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    4. Kwak, Kyu Tae & Lee, Seung Yeop & Lee, Sang Woo, 2021. "News and user characteristics used by personalized algorithms: The case of Korea's news aggregators, Naver News and Kakao News," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

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