1,720,959 research outputs found
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
Facial Prominence of Political Candidates: Gender Differences in Private and Public Pages on Facebook Profile
Full text linkThe face of a person is an important source of communication and information especially for politicians who are continuously portrayed through media. Voters may use this information to form an impression about the candidates and several inferences may be drawn. Within this frame, research has largely investigated gender differences. One line of research has focused on the facial prominence of people portrayed in pictures, describing a tendency to portray men with a higher face prominence as compared to women. This bias has been defined as the face-ism effect and it has a key influence on the perception of dominance, competence, intelligence, and ambition of the portrayed individuals. Several studies in recent years analyzed the differences between the self-representation of men and women in social media, but no study specifically focused on politicians directly comparing two different types of profiles: private vs. public. In two studies, we analyzed differences in face-ism index comparing male and female politicians both for pictures posted in private and public Facebook accounts. In Study 1 results showed that no difference emerged between men and women engaged in politics when considering public pages; however, when private profiles are analyzed, women displayed a higher face-ism index than their male counterparts. Study 2 partially confirmed results from Study 1 considering Italian politicians. Overall, current results showed a different pattern as compared to previous studies suggesting an increase in perceived agency and dominance for female candidates, particularly emphasized in their private profiles
Attacking on morality: When foundation match recipients’ political affiliation.
No full textAbstract
Purpose. The present contribution investigated implicit and explicit effects of negative campaigns based on different moral foundations in liberal vs. conservative participants.
Background. Research suggested that the effects of negative campaigns on the perception of the involved candidates are influenced by the specific content of the attack. As for morality, according to the MFT, liberals rely more on individualizing foundations, whereas conservatives rely also on binding foundations).
Method. Studies 1 and 2 explored how conservatives and liberals explicitly and implicitly evaluate a candidate who attacked the opponent on individualizing vs. binding foundations. Study 3 analyzed how conservatives and liberals evaluate both the source and the target of a negative campaign based on the 5 different foundations. Study 4 analyzed the implicit and explicit evaluation of a target who received an initial attack and who counterattacked on the same foundation of the initial attack.
Results. Studies 1 and 2 suggested that participants evaluated more negatively the source when the attacks concerned the foundations less relevant for them according to the MFT. Study 3 indicated that participants evaluated more negatively the target when the attacks were about the foundations more relevant for them. Study 4 suggested that the target of a negative campaign that counterattacks is evaluated more positively only at the explicit level.
Conclusions: Overall, these studies suggested that the evaluation of the source and the target of negative campaigns are affected by the specific content of the moral attack and by the political ideology of participants
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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