1,721,052 research outputs found

    Generative AI and the creative industries

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    Partecipazione programmata, in data 28 e 29 novembre 2024, al Convegno Internazionale “Generative AI and the creative industries” presso la Scuola di Studi Superiori “Ferdinando Rossi” dell’Università degli Studi di Torino

    Strumenti per capire i media. Prefazione all'edizione italiana

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    Un'introduzione che spiega il valore del volume e i criteri con cui sono stati fatti gli ampliamenti dell'edizione italiana da parte dei curatori

    Media. Una cassetta degli attrezzi (edizione italiana)

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    Adottando un approccio critico e culturale, il libro tratta argomenti che intersecano numerosi insegnamenti, dalle scienze umane a quelle sociali, per analizzare i media come fenomeno globale. Newman prende in esame i media rapportandoli alla società e alle sue diseguali strutture di potere, e mette in relazione le loro rappresentazioni con le condizioni della produzione industriale e il consumo nella vita quotidiana del pubblico e degli utenti. Aggiornando il nostro modo di concepire un panorama in continua evoluzione, questo libro è un’ideale cassetta degli attrezzi non solo per gli studenti di comunicazione e sociologia, ma anche per chi voglia comprendere meglio un aspetto fondamentale della realtà contemporanea

    Strong and weak AI narratives: an analytical framework

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    The current debate on artificial intelligence (AI) tends to associate AI imaginaries with the vision of a future technology capable of emulating or surpassing human intelligence. This article advocates for a more nuanced analysis of AI imaginaries, distinguishing “strong AI narratives,” i.e., narratives that envision futurable AI technologies that are virtually indistinguishable from humans, from "weak" AI narratives, i.e., narratives that discuss and make sense of the functioning and implications of existing AI technologies. Drawing on the academic literature on AI narratives and imaginaries and examining examples drawn from the debate on Large Language Models and public policy, we underscore the critical role and interplay of weak and strong AI across public/private and fictional/non-fictional discourses. The resulting analytical framework aims to empower approaches that are more sensitive to the heterogeneity of AI narratives while also advocating normalising AI narratives, i.e., positioning weak AI narratives more firmly at the center stage of public debates about emerging technologies

    Representing Robots in Popular Culture

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    This chapter addresses the scientific and popular representation of robots as mutually influencing facets. On the one hand, designers, engineers, and pro- grammers shape robots based on their own representations and desired interactions. On the other hand, cultural agents introduce robots into society, creating new visions of humans and robots. Understanding the various representations accompanying ro- bots in contemporary societies is crucial, and socio-psychological, media, and cultural studies frameworks are used to analyze these representations. From this overall framework, this chapter presents fashion as a specific case where the promotion of androids contributes to shaping robot representations and their relationship with hu- mans. As robots become more prevalent in users’ lives, recognizing public representa- tions of robots as a crucial structural dimension of technology can provide stronger means to create robots and prepare them for public engagement and use

    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
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