1,720,987 research outputs found
Replication Data for: Self-Affirmation and Identity-Driven Political Behavior
No full textPsychological attachment to political parties can bias people’s attitudes, beliefs, and group evaluations. Studies from psychology suggest that self-affirmation theory may ameliorate this problem in the domain of politics on a variety of outcome measures. We report a series of studies conducted by separate research teams that examine whether a self-affirmation intervention affects a variety of outcomes, including political or policy attitudes, factual beliefs, conspiracy beliefs, affective polarization, and evaluations of news sources. The different research teams use a variety of self-affirmation interventions, research designs, and outcomes. Despite these differences, the research teams consistently find that self-affirmation treatments have little effect. These findings suggest considerable caution is warranted for researchers who wish to apply the self-affirmation framework to studies that investigate political attitudes and beliefs. By presenting the “null results” of separate research teams, we hope to spark a discussion about whether and how the self-affirmation paradigm should be applied to political topics
Replication Data for: Explicit voter fraud conspiracy cues increase belief among co-partisans but have broader spillover effects on confidence in elections
No full textIn this pre-registered experiment, we test the effects of conspiracy cue content in the context of the 2020 US elections. Specifically, we vary whether respondents see an explicitly stated conspiracy theory, one that is merely implied, or none at all. We find that explicit cues about rigged voting machines increase belief in such theories, especially when the cues target the opposing political party. Explicit cues also decrease confidence in elections regardless of the targeted party, but they have no effect on satisfaction with democracy or support for election security funding. Thus, conspiratorial cues can decrease confidence in institutions, even among the out-party and irrespective of a change in conspiracy beliefs. The results demonstrate that even in a landscape saturated in claims of fraud, voters still respond to novel explicit cues
Replication Data for: Older Americans are more vulnerable to prior exposure effects in news evaluation
No full textOlder news users may be especially vulnerable to prior exposure effects, whereby news comes to be seen as more accurate over multiple viewings. We test this in re-analyses of three two-wave, nationally representative surveys in the U.S. (N = 8,730) in which respondents rated a series of main-stream, hyperpartisan, and false political headlines (139,082 observations). We find that prior ex-posure effects increase with age – being strongest for those in the oldest cohort (60+) – especially for false news. We discuss implications for the design of media literacy programs and policies re-garding targeted political advertising aimed at this group
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Lyons, Ben
No full textSee entry in Hale County volume 1, page 86: https://digital.archives.alabama.gov/digital/collection/voter/id/152
Lyons, Ben
No full textSee entry in Perry County, volume 1, page 37: https://digital.archives.alabama.gov/digital/collection/voter1867/id/320
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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