Sangwon Lee

The aim of this study is to investigate the causal direction of the relationship between incidental news exposure via social media and political participation. Unlike prior studies, which have relied on cross-sectional data to examine this link, we used two panel data sets to better identify causal relationships. Specifically, we evaluate two unidirectional models (i.e. mobilization and reinforcement) and a reciprocal causal model using both cross-lagged and autoregressive path models. The findi

Encountering news on social media is common even for individuals not actively looking for it – a phenomenon referred to as incidental exposure to political news (IE). A growing body of research has explored how IE on social media relates to political knowledge and participation. Yet, little research has considered that the effects of IE may differ across platforms. This study examined platform-dependent effects (across Facebook, Twitter, and YouTube) of IE on political knowledge and participatio

Abstract Despite early promise, scholarship has shown little empirical evidence of learning from the news on social media. At the same time, scholars have documented the problem of information ‘snacking’ and information quality on these platforms. These parallel trends in the literature challenge long-held assumptions about the pro-social effects of news consumption and political participation. We argue that reliance on social media for news does not contribute to people’s real level of politica

This study explores how emerging media platforms (i.e., social media and messaging apps) contribute to affective political polarization. We rely on cross-national data (USA and Japan), which allows us to explore the broader implications of how emerging media platforms contribute to political polarization in different cultural contexts. The results are very consistent; social media news use is positively related to affective polarization while messaging apps are negatively related in the USA and

This study examines the causal effects of social media use on political knowledge as well as the underlying mechanisms through which such an effect occurs. The findings suggest that social media use hinders rather than enhances an individual’s learning about politics, because social media use fosters the perception that one no longer needs to actively seek news in order to stay informed (i.e., news-finds-me perception), and this in turn may have an adverse effect on an individual’s learning abou

이 글은 17세기 말∼18세기 초 노론계 문인들의 <고산구곡가> 수용 양상과 그것의 의미에 대해 고찰해 보았다. 이 시기 노론계 문인들은 가창의 필요에서 <고산구곡가>를 수용한 것이 아니었다. 이들은 노래 자체보다 노래가 갖는 상징적 의미에 주목하였다. 그리하여 국문시가, 한시, 그리고 그림이 결합된 『고산구곡첩』을 제작하기에 이르렀다.1688년에 시작된 『고산구곡첩』 제작 사업은 2차에 걸쳐 추진되었으며 1709년 무렵에 최종 완성되었다. 이 사업은 당대 정치환경과 긴밀한 연관을 가지며 추진된 것으로 보인다. 즉 정치적 위기를 극복하고 정국의 주도권을 확보하고자 하는 당대 노론 핵심 세력의 정치적 의도를 상징적으로 보여주는 것이 『고산구곡첩』의 제작이라 할 수 있다. 이런 『고산구곡첩』 제작 의도는 이 때 새로 창작한 <고산구곡시>를 통해서도 어느 정도 확인할 수 있다.

Introduction. Since its public launch, ChatGPT has gained the world's attention, demonstrating the immense potential of artificial intelligence (AI). Method. To explore factors influencing the adoption of ChatGPT, we ran structural equation modelling to test the unified theory of acceptance and use of technology model while incorporating relative risk (vs. benefit) perception and emotional factors into its original form to gain a better understanding of the process. Analysis. This study utilized

This study examines the role of social media and mechanisms through which it can mobilize citizens to participate in protests. Focusing specifically on Facebook as a social media platform, this study uses survey data collected in South Korea during the 2016 candlelight vigils (N = 922). Findings suggest that the frequency of Facebook use was strongly and positively associated with protest activity. Yet, further path analysis reveals no direct effect of Facebook use on protest participation. Inst

This study explores the effects of traditional media and social media on different types of knowledge about COVID-19. We also explore how surveillance motivation moderates the relationship between media use and different types of knowledge. Based on cross-national data from Singapore and the United States, we find that news seeking via social media is negatively related to factual knowledge and positively related to subjective knowledge and knowledge miscalibration. News seeking via traditional

Scholarship has now recognized the potentially detrimental effects of social media on political knowledge. At the same time, a separate but similar line of work has raised concerns that these platforms are the primary vector of political misinformation. Despite the renewed focus on misinformation studies, the question as to whether political knowledge and susceptibility to misinformation are related remains open. If they are indeed related, we still know little about the underlying cognitive mec

Abstract Despite abundant studies on “fake news,” the long-term consequences have been less explored. In this context, this study examines the dynamic relationship between traditional and social news media use, fake news exposure—measured as perceived fake news exposure and exposure to actual fake news stories, and mainstream media trust. We found interesting patterns across two U.S. panel survey studies. First, we found that exposure to fake news—regardless of how we measured it—decreased peopl

The literature on misinformation has not provided sufficient empirical evidence concerning its political consequences. To amend this trend, this study examines how widespread misinformation on social media elevates political cynicism, which has peaked over the past decade in the United States. Using two-wave survey data collected both before and after the 2020 US presidential election, we present evidence that social media use triggers political cynicism, which is mediated through exposure to mi

News credibility as an essential democratic value has been at the forefront of scholarly endeavors over the last several decades. Despite prolific research in this area, scholarship on the credibility of algorithm-based and automated news has yet to offer empirical findings in regards to the causes and their impacts. In line with prior studies concerning news credibility, this study examines the driving forces in predicting the level of credibility on artificial intelligence (AI) news. Specially