927 research outputs found

    Ad Watch 3.0: Developing Audiovisual and Narrative Techniques for Engaging the Audiovisual Content of Political Advertising

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    Analysis of the evolution and practice of ad watch journalism during the 2000, 2004, 2008, and 2012 presidential campaigns suggests a robust level of ad watch activity, fostered in part by advances in communications technology and the proliferation of actors with means and motive. The efforts of ad watch practitioners to police egregious distortions and deceptions continue to provide an important baseline in the broader discourse surrounding the veracity of campaign claims. Efforts to place the transgressions of campaign spots in a proper context, however, have been met with at best, mixed success. Among the principal challenges to building a better ad watch for the 21st century are engaging the way audiovisual elements of ads advance their case by evoking readily accessible narrative frames grounded in popular culture; developing the multiple metrics by which candidates’ fidelity to the truth over time can be effectively evaluated; and addressing arguments about the character of candidates, arguments often ostensibly framed in overtly policy terms

    The ‘diplomatic masculinity’ of Henry VIII

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    This article examines the place of royal masculinity in the conduct of Henry VIII’s international relations with his two principal rivals, Francis I of France and Charles V, the Holy Roman Emperor. It argues that while strategic considerations evidently drove the conduct of his warfare and diplomacy with Continental rulers, those strategic considerations were themselves often informed by his wish to enhance his reputation as a man before other male rulers. While historians now routinely link gender and diplomacy in their accounts of female rulers, the significance of masculinity as a force in the diplomacy of early modern kings awaits fuller articulation. Henry was a monarch whose masculinity directly informed his interactions with his fellow European kings

    A forecasting Tool for Predicting Australia\u27s Domestic Airline Passenger Demand Using a Genetic Algorithm

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    This study has proposed and empirically tested for the first time genetic algorithm optimization models for modelling Australia’s domestic airline passenger demand, as measured by enplaned passengers (GAPAXDE model) and revenue passenger kilometres performed (GARPKSDE model). Data was divided into training and testing datasets; 74 training datasets were used to estimate the weighting factors of the genetic algorithm models and 13 out-of-sample datasets were used for testing the robustness of the genetic algorithm models. The genetic algorithm parameters used in this study comprised population size (n): 200; the generation number: 1,000; and mutation rate: 0.01. The modelling results have shown that both the quadratic GAPAXDE and GARPKSDE models are more accurate, reliable, and have greater predictive capability as compared to the linear models. The mean absolute percentage error in the out of sample testing dataset for the GAPAXDE and GARPKSDE quadratic models are 2.55 and 2.23%, respectively
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