1,720,973 research outputs found
Sounding Strange(r): Origins, Consequences, and Boundary Conditions of Sociophonetic Discrimination
Full text linkTalking is an immediate and rich form of communication. Through vocal signals we provide information about ourselves and our social background. In six empirical articles, one review article, and a commentary, this special issue gathers an integrated collection of research covering the effects of vocal cues associated with minority membership, in particular, in relation to sexual orientation and migration status. People infer speakers’ nativity to the country and their sexual orientation by integrating vocal and visual cues. This diagnostic use of vocal cues can fuel intergroup conflict in two ways: It triggers discriminatory behaviors against those sounding strange(r) and language stigma triggers social anxiety among strange(r) speakers, resulting in selfstereotyping and social exclusion. The socionormative context plays a major role in containing the consequences of this phenomenon. This special issue prompts future development of social interventions to increase familiarity and normativity of acoustic social signals that deviate from the mainstream
Verbs as Linguistic Markers of Social Agency - The Social Side of Grammar
No full textBasic grammatical categories may carry social meaning irrespective of their semantic
content. In a set of four studies, we demonstrate that verbs – a basic linguistic category
present and distinguishable in most languages – are related to the perception of social
agency, a fundamental dimension in social perception. In an archival analyses on actual
language use in Polish and German, we found that targets typically associated with high
social agency (men and young people) are presented in the immediate neighborhood of a verb
more often than non-agentic social targets (women and old people). Moreover, in three
experiments using a pseudo-word paradigm, we show that verbs (but not adjectives and
nouns) are associated with social agency (but not communion). These results provide
consistent evidence that verbs, as grammatical vehicles of action, are linguistic markers of
social agency. In demonstrating meta-semantic effects of language, these studies corroborate
the view of language as a social tool and of language as an integral part of social perception
The role of agency and communion in humanness conceptualization- a multi-measure and method approach
Full text linkLinguistic features influencing information diffusion in social networks: A systematic review
No full textThis review summarizes research empirically addressing the link between linguistic features and spread of information in online social media. N = 85 studies were selected for the review. Features that consistently had a positive effect on diffusion were information value, words pertaining to social connection, as well as engaging, concrete and powerful language style. Instead, effects of sentiment polarity (positive vs. negative), basic emotions, and morality vary in their relation with diffusion. We also noted whether the diffusion has been investigated as influence- or homophily-based, i.e., whether the sharing occurred as the result of the message exposure or simply because of inherent similarity between the users. This difference in sharing was considered in only n = 7 of the selected works, of which only n = 2 identified features that positively affect both processes
BERTAgent: The Development of a Novel Tool to Quantify Agency in Textual Data
No full textPertaining to goal orientation and achievement, agency is a fundamental aspect of human cognition and behavior. Accordingly, detecting and quantifying linguistic encoding of agency are critical for the analysis of human actions, interactions, and social dynamics. Available agency-quantifying computational tools rely on word-counting methods, which typically are insensitive to the semantic context in which the words are used and consequently prone to miscoding, for example, in case of polysemy. Additionally, some currently available tools do not take into account differences in the intensity and directionality of agency. In order to overcome these shortcomings, we present BERTAgent, a novel tool to quantify semantic agency in text. BERTAgent is a computational language model that utilizes the transformers architecture, a popular deep learning approach to natural language processing. BERTAgent was fine-tuned using textual data that were evaluated by human coders with respect to the level of conveyed agency. In four validation studies, BERTAgent exhibits improved convergent and discriminant validity compared to previous solutions. Additionally, the detailed description of BERTAgent's development procedure serves as a tutorial for the advancement of similar tools, providing a blueprint for leveraging the existing lexicographical data sets in conjunction with the deep learning techniques in order to detect and quantify other psychological constructs in textual data
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
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