1,720,962 research outputs found

    A field guide to visualisation-supported information disorders for media and information literacy

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    This paper describes a doctoral research project that investigates the interconnections between the biased nature of information visualisations, the circulation of information disorders on social media platforms, and the consumption of information during societal crisis situations. The object of the research is a field guide that categorises misleading information visualisations that circulate on social media platforms during such crises a priori, resulting in a twofold contribution to knowledge. Firstly, it systematises existing knowledge in the field of information design, and secondly, it provides a novel educational resource to support Media and Information Literacy initiatives and curricula

    Does seeing entail believing? Visualising information during societal crises

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    Despite the shared belief that information visualisations are immune to manipulation, as visual stimuli, they “are no different from words in this regard, for any means of communication can be used to deceive” (Tufte, 1983). This paper discusses the power of information visualisation in engendering “a narrative experience” (Segel et Al., 2010) that cannot be considered politically neutral (Boehnert, 2016). In this sense, it can be compared to the concept of “tropes” (Haraway, 1988) which are narrative tools transmitting political and social agendas. The paper explores the existing literature addressing the circulation of information disorders (Wardle & Derakhshan, 2019) on social media platforms when supported by information visualisations. The starting point is that the complexity of the topic, its interdisciplinarity, and the dense availability of reflections call for a crisis, a “fracture line” (Foucault, 1969), that can lead to the unveiling of omitted dimensions. The exploration enabled the identification of a space for reconsidering critical approaches to information visualisation circulating on social media by defining literacy resources that combine terminologies, views, methodologies and approaches from diverse disciplines and fields

    VisuaLies: Towards a Classification of Misinfovis Situations

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    This paper presents VisuaLies, a workshop designed to engage citizens in identifying misleading information visualisations (Misinfovis). The workshop aims to validate and enhance the Classification of Misinfovis Situations (CMiS), a classification system for lay citizens to spot the formal characteristics of Misinfovis, which we call ‘Misinfovis Situations’. Conducted with participants of varying educational backgrounds, VisuaLies included activities to assess pre-existing knowledge, familiarise with Misinfovis concepts, classify Misinfovis examples and lead to an updated version of CMiS featuring fewer Situations with more accessible language. This study underscores the importance of involving lay people in recognising and describing Misinfovis with their own words to support the development of inclusive knowledge societies. Future iterations of VisuaLies aim to involve diverse audiences and refine feedback collection methods to further enhance the classification’s effectiveness

    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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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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
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