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Nojin Kwak

Researcher at University of Michigan

Publications -  51
Citations -  5045

Nojin Kwak is an academic researcher from University of Michigan. The author has contributed to research in topics: Politics & Social media. The author has an hindex of 28, co-authored 49 publications receiving 4629 citations.

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"Connecting" and "Disconnecting" With Civic Life: Patterns of Internet Use and the Production of Social Capital

TL;DR: The authors explored the relationship between Internet use and individual-level production of social capital and found that informational uses of the Internet are positively related to individual differences in the production of Social capital, whereas social-recreational uses are negatively related to these civic indicators.
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Information and Expression in a Digital Age Modeling Internet Effects on Civic Participation

TL;DR: Results reveal that the model produces the best fit, empirically and theoretically, with the influence of the Internet, rivaling the mobilizing power of traditional modes of information and expression.
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Environmental Concern, Patterns of Television Viewing, and Pro-Environmental Behaviors: Integrating Models of Media Consumption and Effects

TL;DR: The authors examined the relationship between environmental concern, five forms of television viewing, and pro-environmental behaviors and found that television news and nature documentary use are predicted by environmental concern and contribute to proenvironmental behaviours.
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Revisiting the Knowledge Gap Hypothesis Education, Motivation, and Media Use

Nojin Kwak
TL;DR: The authors found that people's behavioral involvement in the 1992 presidential campaign influenced the knowledge gap between education groups such that the gap was significantly smaller among those with a higher level of involvement, while respondents' television news viewing during the campaign significantly reduced the knowledge gaps between groups.
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Assessing Causality in the Cognitive Mediation Model A Panel Study of Motivations, Information Processing, and Learning During Campaign 2000

TL;DR: Panel analyses found that most of the causal relationships predicted by the “cognitive mediation model” are mutually causal, and future research should consider the reciprocal nature of relationships between information processing and knowledge, particularly as it relates to the study of the knowledge gap hypothesis.