1,721,024 research outputs found

    Inequality Growth and Economic Policy Liberalism: An Updated Test of a Classic Theory

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    Includes the STATA data file and a STATA do-file with model command

    Replication Data for "Economic Inequality, the Working Poor and Belief in the American Dream"

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    Includes STATA dataset and do-file for replicating the results appearing in the manuscrip

    Inequality Growth and Economic Policy Liberalism: An Updated Test of a Classic Theory

    No full text
    Includes the STATA data file and a STATA do-file with model command

    The Trump Effect An Experimental Investigation of the Emboldening Effect of Racially Inflammatory Elite Communication

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    This article explores the effect of explicitly racial and inflammatory speech by political elites on mass citizens in a societal context where equality norms are widespread and generally heeded yet a subset of citizens nonetheless possess deeply ingrained racial prejudices. We argue that such speech should have an “emboldening effect” among the prejudiced, particularly where such speech goes without clear and strong condemnation by other elite political actors. To test this, we focus on the case of the Trump campaign for President in the United States, and utilize a survey experiment embedded within an online panel study. Our results demonstrate that in the absence of prejudiced elite speech, prejudiced citizens constrain the expression of their prejudice; however, in the presence of prejudiced elite speech—particularly when such speech is tacitly condoned by other elites—we find that the prejudiced are emboldened to both express and act upon their prejudices

    Replication Data for: Mass Beliefs about the Working Poor and Support for Redistributive Policies

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    Replication datasets and do-files in Stata for research note in Public Opinion Quarterl

    The Trump Effect An Experimental Investigation of the Emboldening Effect of Racially Inflammatory Elite Communication

    No full text
    This article explores the effect of explicitly racial and inflammatory speech by political elites on mass citizens in a societal context where equality norms are widespread and generally heeded yet a subset of citizens nonetheless possess deeply ingrained racial prejudices. We argue that such speech should have an “emboldening effect” among the prejudiced, particularly where such speech goes without clear and strong condemnation by other elite political actors. To test this, we focus on the case of the Trump campaign for President in the United States, and utilize a survey experiment embedded within an online panel study. Our results demonstrate that in the absence of prejudiced elite speech, prejudiced citizens constrain the expression of their prejudice; however, in the presence of prejudiced elite speech—particularly when such speech is tacitly condoned by other elites—we find that the prejudiced are emboldened to both express and act upon their prejudices

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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