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    Vom Medienliebling zum Medienopfer: Einfluss der Umbewertung von Politikern auf die Einstellungen zu den mit ihnen assoziierten Parteien

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    In der Medienberichterstattung kommt es nicht selten zur Umbewertung von Spitzenpolitikern. Schneller noch als Politiker durch positive Berichterstattung an Ansehen gewinnen, kann ihrem Ansehen mittels negativer Berichterstattung geschadet werden. Das Dissertationsprojekt geht der Fragestellung nach, wie negative Informationen über Politiker sich auf Einstellungen zu den mit diesen assoziierten politischen Parteien auswirken. Basierend auf den im Rahmen der Einstellungsforschung und den Politikwissenschaften gewonnenen Erkenntnissen wird angenommen, dass negative Informationen über Politiker zu einer Abwertung der mit diesen assoziierten politischen Parteien führen. Ein weiterer Fokus der Forschungsarbeit ist die Analyse der mediierenden Faktoren, die die Valenzübertragung von Politikern zu politischen Parteien bedingen. Anhand eines theorieintegrativen Ansatzes wird untersucht, ob und inwiefern die Glaubwürdigkeit einer Medienquelle einen Einfluss auf die Umbewertung von Politikern und politischen Parteien ausübt, wenn sie über erstere negative Informationen verbreitet. Um den Fragestellungen nachzugehen, wurden drei experimentelle Studien durchgeführt, in denen den Versuchspersonen neutrale oder negative Informationen zu Politikern von glaubwürdigen oder weniger glaubwürdigen Quellen dargeboten und die Einstellungen zu den Politikern und Parteien erhoben wurden. Die Ergebnisse weisen darauf hin, dass die Glaubwürdigkeit einer Quelle weder einen Einfluss auf die Bewertung der Politiker noch einen Einfluss auf die Einstellungen zu den Parteien ausübt. Hinsichtlich des Einflusses der Abwertung von Politikern auf die Bewertung der mit ihnen assoziierten politischen Parteien sind gemischte Ergebnisse zu verzeichnen.It is not unusual that public opinion about politicians changes due to media coverage. Faster then politicians will beneficiate from positive media coverage they may also experience reputation loss as a consequence of negative news coverage. This doctoral thesis addresses the question of how negative information about politicians may affect their evaluations and the evaluation of political parties they represent. Based on social psychological models and political science research evidence, politicians devaluation and the devaluation of an associated political party is expected, if the politician is involved in a media scandal. This work also addresses the moderating role of media credibility and recipient’s involvement on the impact of unfavorable political information. Despite empirical evidence indicating that voter behavior is partially determined by a candidate image, it is still unknown under which circumstances negative media coverage about candidates can influence the evaluations of political parties. To address this question three different experimental studies were conducted. The experimental manipulation consisted in presenting politicians with negative information from either a high or a low credible source and assessing attitudes towards politicians and their political parties. Results reveal that source credibility has no impact on politicians and political parties devaluation induced by negative politician information. Regarding the influence of negative politician information on political parties evaluation, mixed results were found

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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