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    Replication Data for: Affective polarization and coalition signals

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    Affective polarization between partisans is potentially troubling for liberal democracy. Hence, recent research has focused on how affective dislike between partisans can be reduced. Using a survey experiment in Austria, we test whether elite signals matter. Respondents exposed to fictional news stories implying that their in-party might form a coalition with an out-party show reduced dislike towards supporters of that out-party. Our experiment also shows that coalition signals can influence out-party affect even if neither of the two parties signalling cooperation are an in-party. We conclude that cooperation between rivals has an important role in reducing affective polarization

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    Heroes and villains: motivated projection of political identities

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    Most research on political identities studies how individuals react to knowingothers’ political allegiances. However, in most contexts political views and identities are hidden and only inferred, so that projected beliefs and identities may matter as much as actual ones. We argue that individuals engage in motivated political projection: the identities people project onto target individuals are strongly conditional on the valence of that target. We test this theoretical proposition in two original studies. In Study 1, we rely on a unique visual conjoint experiment in Britain and the US that asks participants to assign partisanship and political ideology to heroes and villains from film and fiction. In Study 2, we present British voters with a vignette that manipulates a subject’s valence and solicits (false) recall information related to the subject’s political identity. We find strong support for motivated political projection in both studies, especially among strong identifiers. This is largely driven by negative out-group counter-projection rather than positive in-group projection. As political projection can lead to the solidification of antagonistic political identities can be solidified, our findings concerning political projection are relevant for understanding dynamics in group-based animosity and affective polarization

    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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