• Informatization Policy
• /
• v.22 no.2
• /
• pp.57-74
• /
• 2015

This research has been performed in order to investigate the probability that cultural factors in everyday life affect individuals' political behaviors. Using the data collected from 2014 Seoul mayoral election, it analyzes how the degree to which individuals have various cultural capital influences their types of political information acquisition through media. The outcomes suggest following three. First, the more cultural capital individuals have, the more active they are in obtaining political information using diverse media. Second, those who mark high score in the self-cognitive area of cultural capital, such as cultural preferences and cultural tastes, tend to gather political information throughout formal news-oriented media such as on-line news, TV, and newspapers. Third, when types of media are classified into old and new, those who have a variety of cultural capital are likely to prefer new media as their major source of political information acquisition.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.2
• /
• pp.149-156
• /
• 2021

Text mining is one of the useful tools to discover public opinion and perception regarding political issues from big data. It is very common that users of social media express their opinion with newly-coined words such as slang and emoji. However, those new words are not effectively captured by traditional text mining methods that process text data using a language dictionary. In this study, we propose effective methods to extract newly-coined words that connote the political stance and opinion of users. With various text mining techniques, I attempt to discover the context and the political meaning of the new words.

• Journal of Korea Multimedia Society
• /
• v.23 no.2
• /
• pp.301-316
• /
• 2020

Algorithm journalism refers to the practices of automated news generation using algorithms that generate human sounding narratives. Algorithm journalism is known to have strengths in automating repetitive tasks through rapid and accurate analysis of data, and has been actively used in news domains such as sports and finance. In this paper, we propose an interactive card news system that generates personalized local election articles in 2018. The system consists of modules that collects and analyzes election data, generates texts and images, and allows users to specify their interests in the local elections. When a user selects interested regions, election types, candidate names, and political parties, the system generates card news according to their interest. In the study, we examined how personalized card news are evaluated in comparison with text and card news articles by human journalists, and derived implications on the potential use of algorithm in reporting political events.

• Journal of Korean Academy of Nursing Administration
• /
• v.20 no.3
• /
• pp.342-352
• /
• 2014

Purpose: The purpose of this study was to identify how political interest, efficacy and media usage influence political participation in hospital nurses. Methods: Participants were 286 nurses, who were informed of the study purpose and agreed to participate. Data were collected during November and December, 2012 using a questionnaire on political interest, political efficacy, media usage and political participation. Data were analyzed using t-test, ANOVA, Scheff$\acute{e}$'s test, Pearson Correlation Coefficients, and Multiple Stepwise Regression. Results: Scores for political participation and political interest was average. The score for political efficacy was higher than average. Political participation was significantly different by education level, job career, position, and intention to vote in the election for the 18th President. Political participation had a moderate positive correlation with political interest (r=.50, p<.001), political efficacy (r=.32, p<.001) and media usage (r=.14, p=.022). Political interest (${\beta}$=.43) was the factor most influential on political participation, explaining 25% of the variance. A total of 32% of political participation was explained by political interest, political efficacy, and TV news or SNS for media use. Conclusion: The results suggest that it is necessary to develop strategies to promote political interest and political efficacy for hospital nurses to improve political participation.

• The Journal of the Korea Contents Association
• /
• v.19 no.6
• /
• pp.24-32
• /
• 2019

This study examines the extent to which the differences in perceptions regarding principles of journalism and political identity between journalists and their news organizations are related to journalists' psychological burnout. To understand this, this study analyzes the secondary data of the 2017 South Korean journalists' consciousness conducted by the Korean Press Foundation. Psychological burnout consists of three subdimensions of MBI-GS: cynicism, lack of professional efficacy, and exhaustion. The differences in perceptions regarding the principles of journalism between journalists and their affiliated news organizations is measured by the differences in each of the seven reporting principles. This study found that the larger the difference in the perception of objectivity between journalists and their affiliated news organizations, the more likely they were to experience cynicism, lack of professional efficacy, and exhaustion. The greater the difference in political identity between journalists and their own organization, the more likely they were to have greater cynicism and exhaustion.

• Asian Journal for Public Opinion Research
• /
• v.8 no.2
• /
• pp.67-104
• /
• 2020

Fake news and disinformation provoked heated arguments during Taiwan's 2018 local election. Most significantly, concerns grew that Beijing was attempting to sway the island's politics armed with a new "Russian-style influence campaign" weapon (Horton, 2018). To investigate the speculated effects of the "onslaught of misinformation," an online survey with 1068 randomly selected voters was conducted immediately after the election. Findings confirmed that false news affected Taiwanese voters' judgment of the news and their voting decisions. More than 50% of the voters cast their votes without knowing the correct campaign news. In particular, politically neutral voters, who were the least able to discern fake news, tended to vote for the China-friendly Kuomintang (KMT) candidates. Demographic analysis further revealed that female voters tended to be more likely to believe fake news during the election period compared to male voters. Younger or lower-income voters had the lowest levels of discernment of fake news. Further analyses and the implications of these findings for international societies are deliberated in the conclusion.

• Journal of Korea Trade
• /
• v.24 no.6
• /
• pp.61-81
• /
• 2020

Purpose - This paper examines how the consumer animosity of partner country influences the purchase of foreign products. We analyzed news sentiment to determine whether Chinese consumer's animosity affect the purchase of the products made in Korea around the time when the U.S. Terminal High Altitude Area Defense missile system was deployed in South Korea. Design/methodology - To measure the tone of Chinese consumer animosity more carefully, we utilized a text mining technique of the Chinese language to read the public's opinion. Using Chinese news paper's editorials of 2015.1-2018.10, we analyzed the sentiment toward Korea and regressed it with Korean export to China. Findings - Empirical results report that Chinese consumers tended to reduce their purchase of consumer goods from Korea when the animosity increased, that is, the sentiments of Chinese news editorials were negative. In contrast, the animosity did not affect the purchase of Korean intermediates or raw materials. We further analyzed the effect by dividing the animosity into three categories; politics, economics, and culture. Among these groups, political news exhibits a unique effect on Chinese purchase on consumer goods from Korea. Originality/value - Existing literature on animosity models has measured the animosity by collecting the consumers' opinions through survey at a given time point, whereas it is measured by analyzing the tone of the press release by sentiment analysis during the time period around the event occurrence in this study.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.2
• /
• pp.117-122
• /
• 2019

This paper aims to investigate ideological preferences of news media outlets by looking at the news coverage of North Korea-Russia summit in April, 2019. The meeting has gained attention in South Korea, China, Japan and America in that the historical meeting will reflect the future direction for denuclearization on the Korean peninsular and the peace in the world. Given this, in particular, a special attention is paid to the editorials and headlines of news articles reported in two Korean quality newspapers, DongA Ilbo and Hankyoreh because both are quality newspapers, but are ideologically different. To achieve objectivity and fairness, the same issues dealt with during the summit were compared and analyzed within Martin and White (2005)'s Appraisal framework. As a result, it was found that in editorials of DongA Ilbo showed a negative stance to the summit by employing the 'attitude' factor, whereas the Hankyoreh was overwhelmingly positive toward the issue, also by employing the 'attitude' factor. The political stance is likely to be in line with those shown in the headlines of news articles from each newspaper. That is, it is clear that each news outlet shows its ideological stances to news consumers through linguistic expressions, in that both editorials and the headlines of news articles express their political preferences to the summit by means of linguistic appraisals.

• Journal of Internet Computing and Services
• /
• v.19 no.2
• /
• pp.49-56
• /
• 2018

Internet news consumption is rapidly growing in Korea, and majority of that is being done through Naver, Korea's primary search engine. Naver is also the go-to search engine for smartphone use. This study analyzed 824 most popular news accessed via mobile gears; the news items were selected from Naver's 'Daily Top 10 Stories,' dating from March 2016 to December 2016. The results indicate that entertainment news were the most viewed, while political and social issue news were the most liked and commented by mobile users. With regard to news value, 'prominence' and 'impact' were the two most important factors that influenced a user's news selection process in a mobile environment. The degree of a news' 'prominence' was the most important factor that determined the number of views, while 'impact' was critical to determining "the most commented-upon" and "the most liked" news. The results also indicate that mobile news consumers prefer more dramatic storylines and events that incite public anger or grief, threaten the safety of citizens, or evoke emotional sympathy rather than 'hard news' about such subjects as politics and economics.

• Journal of Information Technology Services
• /
• v.18 no.1
• /
• pp.219-234
• /
• 2019

Fake news threaten democratic elections and causes social conflicts, resulting in major damage. However, the concept of fake news is hard to define, as there is a saying, "News is not fake, fake is not news." Fake news, however, has irreversible characteristics that can not be recovered or reversed completely through post-punishment of economic and political benefits. It is also rapidly spreading in the early days. Therefore, it is very important to preemptively detect these types of articles and prevent their blind proliferation. The existing countermeasures are focused on reporting fake news, raising the level of punishment, and the media & academia to determine the authenticity of the news. Researchers are also trying to determine the authenticity by analyzing its contents. Apart from the contents of fake news, determining the behavioral characteristics of the promoters and its qualities can help identify the possibility of having fake news in advance. The online community has a fake news interception and response tradition through its long-standing community-based activities. As a result, I attempted to model the fake news by analyzing the affirmation-denial analysis and posting behavior by securing the web board crawl of the 'M community' bulletin board during the 2017 Korean presidential election period. Random forest algorithm deemed significant. The results of this research will help counteract fake news and focus on preemptive blocking through behavioral analysis rather than post-judgment after semantic analysis.