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    Table_1_Unraveling the impact of self-esteem on the utilization of Instagram filters: the mediating role of fear of negative evaluation.DOCX

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    The popularity of social media platforms, such as Instagram, has given rise to a surge in photo editing and filtering practices among users. Understanding the underlying psychological factors that drive individuals to employ filters is crucial in comprehending the impact of such behavior on self-perception and online interactions. This study aims to investigate the influence of self-esteem on the importance attributed to the use of Instagram filters, with a particular focus on the mediating role played by the fear of negative evaluation. A sample of participants (N = 2,657) from diverse demographic backgrounds has been recruited to complete a series of questionnaires measuring self-esteem, fear of negative evaluation, and Instagram filter usage patterns. Mediation analysis has been employed to assess the extent to which the fear of negative evaluation mediates the relationship between self-esteem and filter usage importance. In line with the hypotheses, the results revealed that participants self-esteem negatively predicted fear of negative evaluation, which in turn had a positive effect on use of filters. Furthermore, fear of negative evaluation fully mediated the relationship between self-esteem and use of filters. Overall, the implications of this research extend to both theoretical and practical domains. The findings can contribute to the existing literature on self-esteem, social media behavior, and body image by shedding light on the factors influencing digital self-presentation.</p

    Effects of Locomotion Regulatory Mode on COVID-19 Anxiety: The Mediating Role of Resilience

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    The COVID-19 pandemic has exerted a significant impact on mental health globally. The uncertainty, fear, and stress associated with this crisis have contributed to a heightened prevalence of anxiety, depression, and various other mental health disorders. In this scenario, the present study aimed at investigating the relationship between locomotion regulatory mode, resilience, and COVID-19 anxiety. It is worth noting that previous extensive research has established a significant correlation between high levels of locomotion and diverse positive psychological conditions, such as optimism, reduced hopelessness, and a positive effect. A total of 243 participants completed measures of locomotion regulatory mode, resilience, and COVID-19 anxiety. In line with our hypotheses, individuals&rsquo; locomotion regulatory mode was negatively, although non-significatively, associated with COVID-19 anxiety. Furthermore, resilience was found to mediate the relationship between the locomotion regulatory mode and COVID-19 anxiety, indicating that individuals displaying high locomotion may be better equipped to cope with the stress and uncertainty of the COVID-19 pandemic due to their greater levels of resilience. Taken together, these findings highlight the importance of considering both locomotion and resilience in managing anxiety related to COVID-19, and suggest that interventions aimed at enhancing resilience may be particularly beneficial for individuals with a low locomotion regulatory mode

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    How people feel about their job: effects of regulatory mode on positivity and job satisfaction.

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    Well-being is a multifaceted concept that mainly concerns optimal experience and functioning. It encompasses an individual’s affective and cognitive evaluations of his or her life including satisfaction, positive and negative affect. Past research has generally investigated the role of positivity in predicting well-being related outcomes and it has revealed a strong positive association. The goal of the present study is to take a step back looking at possible antecedents of positivity. In this vein, we propose two such antecedents, namely: assessment and locomotion regulatory modes. In this work, we investigated the relationship between regulatory modes, positivity and well-being accounted for by job satisfaction. We recruited employees (N = 563) from 8 Italian organizations, and obtained their individual (a) scores on the Regulatory Mode Scale, (b) ratings of positivity, and (c) overall job satisfaction. Two separate moderated multiple regression analyses were run to test the main effect and the interactions of the regulatory modes on the two outcome measures. In line with our hypotheses, the results revealed that assessment negatively predicted both positivity and job satisfaction, whereas locomotion positively predicted those variables. Furthermore, the results showed that employees showing a specific self-regulation pattern (i.e., the combination of high assessment and low locomotion) experienced lower positivity and lower job satisfaction. Finally, using a mediated moderation analysis, it was found that the relationship between regulatory modes and job satisfaction was significantly mediated by positivity

    Effects of Regulatory Modes on work performance: the moderating role of job complexity and familiarity.

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    This research investigated how job’s familiarity and complexity interact with employees’ Regulatory Modes (Higgins, Kruglanski, & Pierro, 2003; Kruglanski et al., 2000) in determining work performance. Participants’ (N= 298; age=31.87 years; SD=8.14) locomotion and assessment tendencies were measured, and they were asked to rate complexity, experience and familiarity related to their daily work tasks and their job performance over the last year. The aim of the study was to analyze the moderating role of both familiarity and complexity on job performance through a multiple regression model. Results showed that in the condition of low familiarity with and high complexity of job tasks, high locomotion and high assessment are both needed to perform best, according to the “Complementarity hypothesis” (Kruglanski et al., 2013). Moreover, in case of low complexity task, the self-rated best performance was shown by employees high in locomotion and low in assessment. On the other side, for high familiarity with the task, its complexity level doesn’t matter, since high locomotion alone lead to the best performance. Implications for work performance and goal pursuit are discussed

    Variations on the Author

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    “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

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    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

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    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

    Author Index

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