1,720,984 research outputs found
sj-docx-1-spp-10.1177_19485506211062285 – Supplemental material for Facial Stereotyping Drives Judgments of Perceptually Ambiguous Social Groups
No full textSupplemental material, sj-docx-1-spp-10.1177_19485506211062285 for Facial Stereotyping Drives Judgments of Perceptually Ambiguous Social Groups by Maryam Bin Meshar, Ryan M. Stolier and Jonathan B. Freeman in Social Psychological and Personality Science</p
Ryan M. Stolier's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
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
Ryan M. Stolier's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
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
Conceptual associations guide social inference
No full textThis is a preprint of a manuscript submitted as a doctoral dissertation to the Department of Psychology at New York University. The dissertation is in stapled form, where a broad introduction and discussion explain the theoretical trajectory of research published elsewhere (peer-reviewed journals, and preprint form). Each chapter references these external manuscripts for the reader.
ABSTRACT: In order to efficiently navigate our social world, humans sort one another along dimensions and categories intended to reflect the structure of human behavior. Popular models of social perception generally theorize a relatively fixed detection process to identify functionally and adaptively significant social attributes (e.g., warmth, competence, anger, race). However, recent research suggests considerable malleability in social perception, which is not adequately accounted for by current models. Here I argue that a number of social perception phenomena may be parsimoniously explained not by a set of fixed detectors but by a domain-general account of spreading activation between social concepts through an associative network. Specifically, I propose that, similar to other forms of non-social inference, perceivers form a knowledge structure of what social concepts exist in the world (e.g., frequent speakers are ‘extroverted’) and how those concepts associate with one another (e.g., ‘extroverted’ people are often ‘kind’ and ‘male’), and they then use this structure to make inferences (e.g., 'this kind male is likely extroverted'). Although quite simple, this perspective provides rich predictions that may describe many facets of the social perception process, such as how perceptions vary in their initial formation from cues, automaticity and temporal dynamics, variance within and between perceivers and contexts, and dimensional and categorical structure. This perspective also helps integrate theory of social perception, bridging both perceptual classes (e.g., traits, social categories, and emotion) and their contexts (e.g., face impressions, person knowledge, and group stereotyping).
To provide an initial test of this perspective, I examine how social perceptions (e.g., warmth, extroversion) correlate with one another along the lines of their conceptual associations (e.g., ‘are warm people likely to be extroverted?’). In Chapter 1, we demonstrate that face-based trait impressions color one another in to the extent they are conceptually associated. Faces perceived to possess one personality trait (e.g., trustworthiness) elicited additional trait impressions (e.g., creativity) to the extent perceivers conceptually associated the traits (e.g. ‘trustworthy people are often creative’). Chapter 2 extends the findings of Chapter 1 across contexts of social cognition, where the same conceptual structuring of trait impressions emerged across the domains of face impressions, familiar person knowledge, and group stereotype content. Lastly, in Chapter 3, I apply this perspective to the domains of emotion recognition and social categorization. Survey, mouse-tracking, and neuroimaging analyses showed categories apparent in a face (e.g., ‘male’) facilitated or impaired perceptions and neural representations of other categories (e.g., ‘black’) to be in accordance with their conceptual associations. Together, these findings provide evidence for a domain-general account of social perception, which assumes only basic semantic-processing principles, accounts for a number of social perception phenomena, and generates several new theoretical predictions. Overall, this research demonstrates that the perceptions and dimensions which emerge in social perception are bound to perceivers’ conceptual representations of the social world
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
- …
