Today's global economy can be defined as a global economy driven by digital data driven by the advancement of the IT industry. This global economy can be described as an era in which each country adopts diverse positions based on its economic power and interests, and in which financial systems, trade systems, and corporate structures coexist internationally. Nevertheless, if media outlets fail to embrace the rapid changes demanded by global corporations and industries, they will inevitably fall behind.
Korea Foreign News pursues "data journalism" centered on the global economy and "digital journalism" that supports journalists .
With the quantitative increase in digital news, media outlets have become increasingly focused on what news they deliver to consumers and how. While traditional news focused on the productive aspects of content, the recent focus has shifted to "how the news is presented," encompassing classification, editing, and distribution
. Korea Foreign News tracks and researches foreign news data on hot international issues, global companies, and industry trends, analyzing and reconstructing it. Foreign news, regardless of its veracity, poses a media risk to both nations and companies. We curate useful data for journalists, provide easy access, and help them discover trustworthy facts within the vast web.
Korea Foreign News shares its news big data system, covering 190 countries and 40 languages, with media outlets, enriching journalism while also suggesting the future direction of journalism in the AI era.
News shapes the future. Korea Foreign News analyzes real-time news reports from around the world to help South Korea anticipate future paradigm shifts, establish an innovation agenda, and secure core competitiveness in global media.
> Data Journal Case Studies: Hyundai Motor India Sumatra Risk , LG Energy Solution Battery Explosion Risk > Go to K-NEWS
The AI-Powered Journalism Paradox: The "Death of High-Quality"
In an era where AI writes articles, we're seeing a crisis in journalism, not an innovation. The standardization of information brought about by AI-based writing will ultimately lead to the collapse of most media outlets . As all media outlets utilize AI, articles become uniform, and readers feel no need to search across multiple sources. The scarcity of information is collapsing.
Source: WikiLeaks Korea (http://www.wikileaks-kr.org) / WIKI DB
This standardization undermines the core revenue model of journalism. AI-generated articles struggle to drive traffic, and the "zero click" phenomenon of AI search engines leads to a sharp decline in advertising revenue. Furthermore, readers won't pay for similar articles written by AI. Only a small number of news organizations that provide in-depth investigative reporting and analysis that AI can't replicate will retain their subscribers.
Crucially, AI undermines the very essence of journalism: trust and criticism. AI cannot conduct investigative reporting on the ground, and articles filled with mechanistic logic fail to fulfill their critical function. As more and more news organizations rely on AI, the quality of journalism will decline and public distrust will deepen.
Going forward, the media landscape will polarize: those that wisely utilize AI to enhance the quality of their journalism, and those that merely use AI as a cheap news production tool . Ultimately, only a select few that uphold the essential values of "trust" and "depth" will survive. The rest will drift in a sea of information and face the risk of disappearing. The media landscape is now at a critical juncture.
(This article was also written by AI.)
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Today, we live in a deluge of news. Many of them are armed with provocative headlines, aiming to occupy the "Most Viewed News" and "Real-Time Trending" sections of portal sites. Obsessed with increasing clicks, media outlets have become accustomed to portal algorithms, focusing solely on capturing readers' attention.
This clearly demonstrates the reality of journalism, which relies on immediate responses rather than the inherent values of in-depth analysis and truth-seeking. The role of data journalism, which analyzes and reveals the true face of this "portal-dependent media" through big data analysis, is becoming increasingly important.
Portal dependence, journalism loses its way
As portals have become the primary news distribution channel, the survival strategy of media companies has drastically changed. Instead of producing quality content that earns readers' trust, increasing traffic through increased exposure on portal main pages has become the top priority. In this process, the essence of journalism is rapidly fading.
Data journalism: Dissecting the Shadow of Portals through OTT
Digital journalism is gaining attention as an alternative to these challenges. In line with the growth of the OTT market, major media outlets are actively leveraging online video platforms like YouTube to produce digital news content, thereby reaching younger audiences and responding to current affairs-focused news consumption trends. Even without their own OTT services, media outlets are distributing news content through platforms like YouTube and leveraging existing cross-media platform technologies to expose content to various media outlets, adapting to the changing media landscape.
Digital journalism is a reporting method that analyzes massive amounts of data to uncover new insights for readers. Key issues in Korea, captured in big data, are delivered to international readers through the K-NEWS OTT channel.
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K-NEWS is a data journal and digital journalism platform based on news big data in 40 languages across 190 countries. This news big data technology serves as a source for producing high-quality, AI-powered articles.
Interested international media outlets, please contact us at mail@k-news.co.kr
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