1,720,954 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Social Media Literacy: Entwicklung einer Browser Extension zur Erkennung und Bewertung maschinell generierter Inhalte auf X
No full textThis thesis explores how a real-time bot detection browser extension can influence Social Media Literacy and critical thinking among personal users on the platform X. As misinformation increasingly spreads through social bots, users require tools that not only detect inauthentic accounts but also support informed decision-making. To address this, a browser extension was developed that integrates visual indicators directly into the X timeline. Using these and a contextual side panel, it provides immediate feedback on account authenticity while incorporating Explainable AI principles to maintain user autonomy and transparency.The study employed a three-phase qualitative methodology: a pre-assessment using think-aloud protocols and interviews to understand user behavior and expectations, a development phase informed by user feedback, and a final evaluation with the same participants. Findings show that the extension increased awareness of bot behavior, supported more cautious media consumption, and fostered critical evaluation skills but also cause overreliance in some cases.The results contribute to the field of Social Media Literacy by demonstrating that real-time interventions can positively influence how users assess content credibility. The thesis highlights the potential of AI tools to support digital literacy while underscoring the risks of overreliance. Future research should explore long-term effects and broader platform applicability to ensure sustainable literacy development.Diese Masterarbeit untersucht, wie eine Bot-Erkennungs-Browserextension in Echtzeit die So-cial Media Literacy und das kritische Denken von Nutzer*innen auf der Plattform X beeinflusst.Da sich Fehlinformationen zunehmend ¨uber Social Bots verbreiten, ben¨otigen Nutzer*innenTools, die nicht nur unauthentische Accounts erkennen, sondern auch die eigene Entscheidungs-findung unterst¨utzen. Zu diesem Zweck wird eine Browserextension entwickelt, die visuelle In-dikatoren direkt in die X-Timeline integriert. Mithilfe dieser und eines zus¨atzlichen Informati-onspanels liefert sie unmittelbares Feedback zur Authentizit¨at von Accounts und ber¨ucksichtigtdabei Explainable AI Prinzipien, um die Autonomie von Nutzer*innen und Transparenz zu un-terst¨utzen.Die Studie folgt einer dreiphasigen Methodik: einer Vorab-Erhebung mit Think-Aloud-Protokollenund Interviews zur Erfassung von Nutzer*innenverhalten und Erwartungen, einer Entwick-lungsphase basierend auf dem Nutzer*innenfeedback sowie einer abschließenden Evaluationmit denselben Teilnehmer*innen. Die Ergebnisse zeigen, dass die Browserextension das Be-wusstsein f¨ur Bots steigert, zu einem vorsichtigeren Medienkonsum beitr¨agt und die F¨ahigkeitzum kritischen Denken f¨ordert, in einigen F¨allen f¨uhrt sie jedoch auch zu einer ¨uberm¨aßigenAbh¨angigkeit.Die Masterarbeit leistet einen Beitrag zu Social Media Literacy, indem sie zeigt, dass Interven-tionen in Echtzeit das Nutzer*innenverhalten hinsichtlich der Einsch¨atzung von Glaubw¨urdigkeitvon Inhalten positiv beeinflussen k¨onnen. Sie verdeutlicht das Potenzial KI-gest¨utzter Tools zurF¨orderung digitaler Kompetenzen. Zuk¨unftige Forschung sollte langfristige Effekte sowie dieAnwendbarkeit auf andere Plattformen untersuchen.This thesis was also submitted to the Master degree program MultiMediaTechnology at the Salzburg University of Applied Sciences, in fulfilment of the requirements for the double degree program with Halmstad University. </p
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Social Media Literacy: Entwicklung einer Browser Extension zur Erkennung und Bewertung maschinell generierter Inhalte auf X
No full textThis thesis explores how a real-time bot detection browser extension can influence Social Media Literacy and critical thinking among personal users on the platform X. As misinformation increasingly spreads through social bots, users require tools that not only detect inauthentic accounts but also support informed decision-making. To address this, a browser extension was developed that integrates visual indicators directly into the X timeline. Using these and a contextual side panel, it provides immediate feedback on account authenticity while incorporating Explainable AI principles to maintain user autonomy and transparency.The study employed a three-phase qualitative methodology: a pre-assessment using think-aloud protocols and interviews to understand user behavior and expectations, a development phase informed by user feedback, and a final evaluation with the same participants. Findings show that the extension increased awareness of bot behavior, supported more cautious media consumption, and fostered critical evaluation skills but also cause overreliance in some cases.The results contribute to the field of Social Media Literacy by demonstrating that real-time interventions can positively influence how users assess content credibility. The thesis highlights the potential of AI tools to support digital literacy while underscoring the risks of overreliance. Future research should explore long-term effects and broader platform applicability to ensure sustainable literacy development.Diese Masterarbeit untersucht, wie eine Bot-Erkennungs-Browserextension in Echtzeit die So-cial Media Literacy und das kritische Denken von Nutzer*innen auf der Plattform X beeinflusst.Da sich Fehlinformationen zunehmend ¨uber Social Bots verbreiten, ben¨otigen Nutzer*innenTools, die nicht nur unauthentische Accounts erkennen, sondern auch die eigene Entscheidungs-findung unterst¨utzen. Zu diesem Zweck wird eine Browserextension entwickelt, die visuelle In-dikatoren direkt in die X-Timeline integriert. Mithilfe dieser und eines zus¨atzlichen Informati-onspanels liefert sie unmittelbares Feedback zur Authentizit¨at von Accounts und ber¨ucksichtigtdabei Explainable AI Prinzipien, um die Autonomie von Nutzer*innen und Transparenz zu un-terst¨utzen.Die Studie folgt einer dreiphasigen Methodik: einer Vorab-Erhebung mit Think-Aloud-Protokollenund Interviews zur Erfassung von Nutzer*innenverhalten und Erwartungen, einer Entwick-lungsphase basierend auf dem Nutzer*innenfeedback sowie einer abschließenden Evaluationmit denselben Teilnehmer*innen. Die Ergebnisse zeigen, dass die Browserextension das Be-wusstsein f¨ur Bots steigert, zu einem vorsichtigeren Medienkonsum beitr¨agt und die F¨ahigkeitzum kritischen Denken f¨ordert, in einigen F¨allen f¨uhrt sie jedoch auch zu einer ¨uberm¨aßigenAbh¨angigkeit.Die Masterarbeit leistet einen Beitrag zu Social Media Literacy, indem sie zeigt, dass Interven-tionen in Echtzeit das Nutzer*innenverhalten hinsichtlich der Einsch¨atzung von Glaubw¨urdigkeitvon Inhalten positiv beeinflussen k¨onnen. Sie verdeutlicht das Potenzial KI-gest¨utzter Tools zurF¨orderung digitaler Kompetenzen. Zuk¨unftige Forschung sollte langfristige Effekte sowie dieAnwendbarkeit auf andere Plattformen untersuchen.This thesis was also submitted to the Master degree program MultiMediaTechnology at the Salzburg University of Applied Sciences, in fulfilment of the requirements for the double degree program with Halmstad University. </p
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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