1,721,070 research outputs found

    Decoding Disinformation: A Comprehensive Analysis of Fake News

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    In the contemporary digital landscape, the proliferation of inaccurate or manipulated news and information has attained a disconcerting magnitude. The dissemination of such misinformation has prompted an examination of causal elements, notably including the concept of citizen-limited rationality. This term denotes the cognitive constraints imposed by a dearth of information, cognitive limitations, and temporal constraints. This study is bifurcated into two primary objectives. Firstly, it aims to delineate the characteristics of fake news through statistical analysis. Secondly, it seeks to discern determinants influencing the propagation of misinformation regarding individuals' awareness of fake news. To accomplish these aims, a comprehensive two-step methodology was implemented. In the initial phase, unstructured texts were extracted from the web pages of prominent fact- checking sites utilizing web scraping techniques for the investigation of fake news. The second phase involved the identification and measurement of determinants in the dissemination of misinformation through structural equation models. Employing a topic-modeling model, the investigation probed whether fake news exhibits recurrent associations of words forming distinct topics. The subsequent analysis delved into the domains and degrees of misinformation, elucidating factors contributing to its dissemination. Common topics within fake news served a dual purpose: firstly, to gauge a latent variable about the extent of misinformation, utilizing topics to chart recurring themes in fake news upon which respondents were invited to articulate their perspectives regarding veracity or falsity; and secondly, to scrutinize, via path analysis with partial least squares structural equation modeling estimation, the variables deemed determinants of the misinformation phenomenon

    (Un) useful risk disclosure: explanations from the Italian banks

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    Purpose – The purpose of this paper is to better understand how mandatory risk categories are disclosed and to provide a better understanding of the reasons why risk disclosure looks less useful than it ought to be. Design/methodology/approach – We analyze how Italian banks provide risk information, by focusing on its characteristics to find out any differences between the notes to the financial statements and the public report, both prepared in compliance with the instructions of the Bank of Italy. We assess the risk-related reporting practices of 66 Italian banks, based on a content analysis of the two mandatory reports, and verify whether bank-specific factors explain any differences. Findings – Italian banks formally comply with the Bank of Italy’s instructions, but there is discretion to choose the characteristics of the information provided. Despite different risk categories to disclose in each report, disclosure is quite uniform, although banks tend to provide denser information in the notes to the financial statements and the difference in the economic signs between the two reports decreases as the level of risk increases. Practical implications – The significance of this study goes beyond the debate taking place in the academic arena, as it can be largely relevant for preparers, those responsible for setting international and national accounting standards, the Basel Committee on Banking Supervision and the domestic supervisory authorities, particularly concerning the possible introduction of requirements that are more explicit than the existing ones. Originality/value – The Italian setting is very relevant because unlike other countries, Italy adopts “interventionist enforcements”, which are regarded as a critical tool for achieving the minimum disclosure requirements. Moreover, the two sets of disclosure required by the Bank of Italy have never been investigated in a single data set

    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

    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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