• Journal of Distribution Science
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• v.21 no.7
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• pp.1-9
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• 2023

Purpose: This study aims to understand if heterogeneous news is evenly consumed and distributed on portals as it examines people's news use and engagement behaviors and news credibility. Focusing on the four behaviors of news use, i.e., viewing news by keyword search, viewing news from subscribed sources, viewing news from the list of most-viewed news, and reading comments, and the three behaviors of news engagement, i.e., sharing news, 'liking' or 'recommending' news, and posting comments, this study investigates the relation between each of the behaviors and portal news credibility. Research design, data and methodology: From 2022 News Audience Survey in Korea, this study conducts a regression analysis to investigate the relations between each behavior and news credibility. Results: The results show a positive relation for the former two news use behaviors and the latter two news engagement behaviors, and a negative relation for the latter two news use behaviors. Conclusions: The positive relations between active news use and engagement behaviors and portal news credibility indicate that news consumers are more likely to use and engage in attitude-consistent news rather than attitude-challenging news, implying that heterogeneous news is less likely to be consumed and distributed evenly on portals across all news users.

• International Journal of Contents
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• v.12 no.3
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• pp.1-11
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• 2016

This exploratory study examines the critical factors associated with news consumers' perception of information overload and news consumption patterns. An online survey was conducted with Qualtrics panels (N = 1001). The demographics and three antecedent factors of perceived information overload were considered including the frequency of news access through multiple media platforms, level of attention to news, and interest in news. Three news consumption patterns were investigated as possible consequences of perceived information overload: news avoidance, selective exposure, and willingness to pay for news. The results of hierarchical regression analyses revealed a meaningful distinction between general and news information overload. Overall, news consumers who paid more attention to news through newer media/platforms/devices perceived higher levels of information overload, were more willing to pay for the news, and often avoided news or selectively exposed themselves to certain sources of news to manage news information overload.

• International Journal of Contents
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• v.13 no.1
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• pp.1-8
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• 2017

The study aims to reveal the differences in the factors influencing portal news and news site application usages on smartphones in regard to political discussion networks, news use across multiple media platforms and news genre consumption. The results demonstrate that those factors affected both types of application usages in a different manner when controlling for demographics. The more participants conversed politics with homogeneous networks, the more they used portal news on smartphones. Conversely, the more political discussion with heterogeneous networks, the more they used news site application on smartphones. The more frequently Internet and mobile phone were employed for news source and the more soft news genre was consumed, the more the portal news application was used. However, the more frequently traditional and social media were employed for news source and the more hard news consumed, the more news site application was used. The findings imply that portal news application users may increase their likelihood of soft news consumption using Internet and mobile phones for political discussion with close social relations, while news site application users may increase their likelihood of hard news consumption using traditional and social media for political discussion with distant social relations.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.31-43
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• 2023

News credibility is on a decline for many democratic countries. Among the countries, South Korea is currently witnessing one of the steepest declining curves. Since people obtain news from various media, for example, television and portals, news credibility can be measured for each of the media separately. Most often, television news credibility is much higher than portal news credibility because people tend to trust traditional media more than online ones. To understand the discrepancy between news credibility of the two media in specific relation to South Koreans' everyday news use and overall news credibility evaluation, this exploratory study examined how the factors that influence television news credibility and portal news credibility differ from each other by examining the relations of news credibility of the two media to credibility of news I use and of news in general. Drawing from previous research on partisan news use, it assumed that normative beliefs for television as a traditional medium work for television news credibility in the similar way as the mechanisms of selective exposure and bias perception do. It also assumed that the experiences dimension of news trust works for credibility of portal news and of news in general similarly. To verify these assumptions, a regression analysis was conducted from a sample of 58,936 South Koreans collected in 2022. As assumed, results revealed a greater relation between credibility of television news and of news I use, and between credibility of portal news and of news in general respectively. The findings suggest that measurement of credibility should be revised in the way that reflects media characteristics and the differing expectations held by news users.

• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1419-1426
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• 2015

Distinguishing border between news and advertising is disappearing. Traditional journalism considered editorial part deals news and ad part handle commercial messages. But now this classification is meaningless. Current news consumers do not separate advertising content and non-advertising content. In Korea, making fake news or paid news pages is becoming social problem. Fake news uses various camouflages to pretend to be real news. This paper descriptively analyzed Korean fake news cases and suggested some guidelines for publishing news. We analyzed 3 major newspaper web sites from July to September, 2014. These three newspapers publish section pages everyday containing fake news or sponsored news. Totally more than one thousand articles were selected for content analysis. We coded the numbers of fake news, day of the week, the rate of sponsored news, average fake news publication number per pages, the conformity between news and advertising, and the type of fake news. We also coded the number of sponsored news article in day sections. We used method of comparing the advertising contents and news articles. As a result, 24.8% of news article were published for the advertising sponsors. Advertorial or fake news were sometimes arranged same pages the same day. We coded the conformity between same advertising and news content. More than 60 percent (60.9%) of fake news match with their sponsors. PR style of fake news is top and advertising type of fake news is the lowest.

• Asian Journal for Public Opinion Research
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• v.11 no.3
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• pp.234-256
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• 2023

This study aims to understand how people evaluate the credibility of news they use every day and how such evaluation is related to their credibility assessment of news on media overall. For this purpose, this study examines the relationship between credibility of "news I use" and credibility of news on television and news portals overall, respectively. It also explores whether the relationship is moderated by the strength of political ideology. From regression analyses of a nationwide survey of 5,010 adults in South Korea in 2021, the results showed a lower level of credibility for "news I use" than for overall news on television and portals. The results also revealed a significant relationship between the credibility of "news I use" and credibility of overall news on the two media respectively. The expected moderation effect was significant for portal news, but not for television news. Findings and implications are discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.2
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• pp.285-304
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• 2021

Today, false news is increasing in volume, and fashion news often circulates uncritically. Therefore, an evaluation framework is needed to determine whether fashion news is accurate or good. In journalism, the judgment of good news is made through the criterion of news value factors. These factors are the criteria for assessing the likelihood of an event being reported in the news. Through the study of news value by various journalistic scholars, this study selected nine news value factors applicable to the value measurement of fashion news as the framework of analysis. Based on this, after analyzing the actual news on online fashion media, new characteristics and content were reconstructed for fashion news. As a result of the study, it was finally selected that the crucial factors were: expertise, social importance, timelessness, conflict, and negativity for measuring the value of fashion news. To assess the news value of fashion accurately, this study found that reconceptualized news values are needed, which are different from the news values of general journalism. The study is meaningful in that it explores elements and content for the development of a theoretical framework for the qualitative evaluation of fashion news.

• Knowledge Management Research
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• v.20 no.2
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• pp.87-103
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• 2019

The purpose of this study was to explore the factors influencing acceptance (e.g., comprehension,) and diffusion of information recipients' by depending on the authenticity of news. Specifically, this study has examined the effects of the news contents(political vs. general), need for cognition(high vs. low) and authenticity of the News(real news vs. fake news) on both acceptance and diffusion of news. Based on previous work, this study has developed a conceptual model to present each research hypothesis and tested it by conducting experiments as the follows. As a result, according to the authenticity of the news and the contents of the news (political and general), the acceptance of political contents was high regardless of the authenticity of the news, and the acceptance of real news was higher than that of fake news. However, in the proliferation (comment), both the political contents and the general contents showed the characteristic of spreading (commenting) fake news rather than real news. contrary to this, the cognitive level did not show any significant difference in acceptance (understanding) and proliferation (comment, sharing, recommendation). This study provides academic implications in that it examines the influences of accepting (comprehension) and diffusion (comment, sharing, recommendation) of real news and fake news. It also provides practical implications for responding to fake news and new marketing strategies in an environment where contents are delivered through diverse social media.

• Journal of Information Technology Applications and Management
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• v.26 no.6
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• pp.1-12
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• 2019

On the Internet age, the news is generated and distributed not only by traditional news media, but also by a variety of online news media, news platforms, content websites/content farms, and social media. Since it is an easy task to create and distribute news, some of these news reports may contain fake or false facts. In the end, the cyberspace is full of fake or false messages. People may wonder if these fake news actually influence our decision making. In this paper, we discussed a real case of fake news. In this case, a Taiwanese company used some fake news, advertorial news, and news placement to manipulate or influence its stock price and trade volume. We collected all news for the case company during a period of four years and five months (from January 2013 to May 2017). We analyzed the relationship between published news and stock price. Based on the analysis results, we conclude that we should not ignore the influence of news placement and fake business news on the stock price.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.352-359
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• 2021

The purpose of this study is to design and build fake news discrimination systems and methods using fact-checking guidelines. In other words, the main content of this study is the system for identifying fake news using Artificial Intelligence -based Fact-checking guidelines. Specifically planned guidelines are needed to determine fake news that is prevalent these days, and the purpose of these guidelines is fact-checking. Identifying fake news immediately after seeing a huge amount of news is inefficient in handling and ineffective in handling. For this reason, we would like to design a fake news identification system using the fact-checking guidelines to create guidelines based on pattern analysis against fake news and real news data. The model will monitor the fact-checking guideline model modeled to determine the Fact-checking target within the news article and news articles shared on social networking service sites. Through this, the model is reflected in the fact-checking guideline model by analyzing news monitoring devices that select suspicious news articles based on their user responses. The core of this research model is a fake news identification device that determines the authenticity of this suspected news article. So, we propose news article identification methods with fact-checking guideline on Artificial Intelligence & Bigdata. This study will help news subscribers determine news that is unclear in its authenticity.