1,720,954 research outputs found
The prison of online performance: social achievement goals as a buffer between social media and digital stress
The increasing integration of social media into daily life has raised concern about its psychological consequences, particularly for young adults navigating self-presentation and social validation online. This dissertation investigates how individual differences in social achievement goal orientations—development (DEV) and demonstration (DEM)—moderate the relationship between social media use (SMU) and approval anxiety, a key form of digital stress. Grounded in Social Achievement Goal Theory and the Digital Stress Framework, this study employed a cross-sectional design with 377 participants aged 18–25 who use Instagram daily or nearly daily for personal and social purposes. Data were analyzed using a Generalized Additive Model (GAM) to account for non-linear and interactive effects. Findings revealed that DEM significantly moderated the relationship between SMU and approval anxiety, with higher DEM associated with greater anxiety as SMU increased. Contrary to hypotheses, DEV did not function as a protective factor. Instead, DEV further amplified the DEM–SMU interaction, with the highest levels of approval anxiety reported among individuals high in both DEV and DEM. These findings suggest that high social motivation across both orientations may exacerbate digital stress, particularly in online environments that emphasize performance and public validation.The results contribute to a nuanced understanding of individual vulnerability to digital
stress and highlight the importance of addressing motivational orientations in mental health interventions and platform design. Practical implications include recommendations for clinicians, educators, and tech developers to promote healthier social media use and reduce approval-driven engagement among youth.Ph. D
Problematic social media use among college students: the role of social achievement goals and fear of missing out
The concern about college students' neglect of their daily responsibilities and addiction-like symptoms due to social media use has been concerning. Given the social function and purpose of social media platforms, we applied social achievement goal theory, which focuses on the distinctive purpose of social interactions. Based on the significant differences between in-person and online social settings, the current study assessed social achievement goals specifically for online settings. The study examined whether college students' online social achievement goals predict the extent to which social media use interferes with their daily responsibilities and functioning. Additionally, the study tested whether fear of missing out (FoMO) mediates the effects of social achievement goals. Path analysis was conducted using data from 366 students attending a Midwestern U.S. university. The results confirmed significant mediation for social demonstration-approach and social demonstration-avoidance goals, but not for social development goals. Social development goals buffered students against mild social media interference. In contrast, social demonstration-approach and social demonstration-avoidance goals were linked to mild and severe social media interference through heightened FoMO. Interestingly, social demonstration-approach goals emerged as a strong direct predictor of severe social media interference. Given that time spent on social media was controlled for in the
analysis, the results indicated that individuals who spend the same amount of time on social media may be affected differently depending on their social achievement goals.M. S
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
We 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.
Author-wise bibliometric analysis based on entropy.</p
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