Political communication researchers have devoted a great deal of attention to the role of political advertising, the Internet, and political discussion in civic and political life. In this article, we integrate and extend this research by developing a campaign communication mediation model of civic and campaign participation. Two data sets are merged for this inquiry: (a) content-coded ad-buy data on the placement of campaign messages on a market-by-market and program-by-program basis and (b) a national panel study concerning patterns of traditional and digital media consumption and levels of civic and campaign participation. Exposure to televised campaign advertising is estimated by developing an algorithm based on the market and program placement of specific ads and geocoded survey respondents' viewing of certain categories of television content in which these ads were concentrated. Structural equation models reveal that advertising exposure drives online news use in ways that complement conventional news influences on political discussion and political messaging. However, campaign exposure emphasizing ''attack'' messages appears to diminish information seeking motivations via broadcast and print media, yet only indirectly and weakly suppresses participation in civic and political life. Further, alternative specifications reveal that our original model produces the best fit, empirically and theoretically. We use these insights to propose an O-S-R-O-R (orientations-stimuli-reasoning-orientations-responses) framework as an alternative to the longstanding O-S-O-R model in communication and social psychology.
The present study examines how exposure to uncivil online comments influences individuals' attitude polarization along political party lines, perceived political polarization of the public, and expectations about public deliberation. Findings show that exposure to uncivil online discussion does not affect attitude polarization, but it does significantly affect the perceived polarization of the public. In addition, exposure to uncivil online discussion leads to lower expectations about public deliberation and such effect of uncivil discussion on expectations of public deliberation was mediated by perceived public polarization but not by attitude polarization.
Isolating causal relationships is very difficult in natural discussion because discussion is, by nature, a causally complex interactive process. This study provides a novel approach to this problem by using simulated online discussion to experimentally manipulate message characteristics in a timed script that participants believed to be a discussion with other participants. In particular, we manipulated whether simulated online discussion partners expressed disagreement civilly or uncivilly. With this unique design, we examined how individuals differently react to opposing views in an online discussion setting depending on tone of disagreement expression. Our results showed that exposure to uncivil discussion results in increased negative emotions toward the other side, which in turn led to more closed-mindedness and more expression of disagreement with the discussion partner on the other side of the issue, although uncivil discussion and negative emotions are positively related to recall of the other side's reasons.
In these days, Cloud computing is provided by various service ways, and it is possible that practical implement and service by virtualized environment. With developing of cloud computing techniques, many companies propose the different type of platforms through research the relevant technique. Among other platforms, we are going to talk about the performance comparison analysis of Linux Container and Virtual Machine in this paper. We built Cloud environment first on Docker which is based on Linux Container and Hypervisor which is Virtual Machine, we analyzed each of the size, Boot speed, and CPU performance. With this analysis result, Users will be able to understand characteristic of each platforms, and they will be able to choose the platforms reasonably what they need.
This article integrates priming and framing into a cognitive-processing model that illustrates how the effects of watching a presidential debate might be influenced by a priming message as it interacts with an individual's schema. We examine how the frame of postdebate news analysis primes audience reflection on a previously viewed segment from the 2004 presidential debates (a process we identify as ''primed reflection''). Results show that the influence of postdebate news analysis is a function of the interaction between the news-analysis frame (policy vs. performance) and the individual-level factors, namely, political knowledge and propensity to reflect on media content.
During the course of illness, people diagnosed with cancer need information to cope with cancer. Despite the crucial role of information, little is known about why some people with cancer choose to seek further information about their illness and why others do not. This study investigates the interplay of two psychological factors, negative emotion and health self-efficacy, on patients' health information use. Using the data collected from 122 women diagnosed with breast cancer, the authors found that negative emotions and health self-efficacy jointly affect the use of health information. Among patients with high health self-efficacy, negative emotions were positively related to the amount of information sought, whereas among those with low health self-efficacy, negative emotions were negatively related to the amount of information sought. The results also show that there are significant increases in patients' health self-efficacy after the use of health information for 2 months.
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