1,720,959 research outputs found
Replication Data for: The Most Important Election of Our Lifetime: Focalism and Political Participation
No full textThis repository contains reproduction files for the analysis reported in Bram, Curtis. "The Most Important Election of Our Lifetime: Focalism and Political Participation" Political Psychology
Replication Data for: Beyond Partisan Filters: Can Underreported News Reduce Issue Polarization?
No full textAbstract: While many news outlets strive for impartiality, two-thirds of Americans perceive a partisan slant in their news and believe that their preferred political news sources often provide only one side of the narrative. This paper asks: can exposing individuals to the stories that their political opponents focus on mitigate polarization? I randomized the content of a real-world political newsletter that was sent to participants who had specifically opted to receive news revealing media coverage biases. In this experiment, one news story prompted respondents to re-evaluate their policy stances. This led to alterations in their issue positions and diminished the distinctions they drew between Democrats and Republicans. These results suggest the need for future research to tease apart the conditions under which cross-partisan exposure can alter political attitudes
Replication Data for: Expectations for policy change and participation
No full textThis is replication data for the paper "Expectations for policy change and participation", accepted at Public Opinion Quarterly. The abstract is: What policy changes do people expect from elections, and how do those expectations influence the decision to vote? This paper examines voters’ beliefs about what candidates would actually do if given political power. I first find that public respondents underestimate the impediments that the separation of powers poses to policy change. Respondents from the general population expected much more legislation to result from the 2020 election than political scientists completing an identical survey. Second, voters expected much more policy change than non-voters. Most importantly, high expectations predicted validated voter turn out better than participation in the previous presidential election, education, party identification (as well as partisan strength and ideology), and political interest. These results support explanations for the decision to vote which center on the benefits that people believe their preferred candidate will deliver
Replication Data for: When a conspiracy theory goes mainstream, people feel more positive towards conspiracy theorists
No full textThis data file contains anonymous survey data (anonymousdata.csv), code to replicate the analysis (code.Rmd), and a PDF documenting the results (results.pdf).
To replicate the analysis please start with the code file.
Analysis was run using R version 4.0.0 (2020-04-24) -- "Arbor Day
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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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