1,720,969 research outputs found
Deep Watching - Towards New Methods of Analyzing Visual Media in Cultural Studies
No full textPresentation at DH2019, Utrecht, Netherlands.
Held by Howanitz, Gernot on July 11th, 2019
Deep Watching: Towards New Methods of Analyzing Visual Media in Cultural Studies
No full textAbstract of paper 0335 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019
ghowa/russian-blogs: v1.0.0
No full textTopic modeling data and scripts for the following monograph: Howanitz, Gernot. 2020. Leben Weben. (Auto-)Biographische Praktiken russischer Autorinnen und Autoren im Internet. Bielefeld: transcript. (= PhD thesis, U of Passau 2017). Available in Open Acces
Distant Waching. Ein quantitativer Zugang zu YouTube-Videos
No full textA single abstract from the DHd-2015 Book of Abstracts.Sofern eine editorische Arbeit an dieser Publikation stattgefunden hat, dann bestand diese aus der Eliminierung von Bindestrichen in Überschriften, die aufgrund fehlerhafter Silbentrennung entstanden sind, der Vereinheitlichung von Namen der Autor*innen in das Schema "Nachname, Vorname" und/oder der Trennung von Überschrift und Unterüberschrift durch die Setzung eines Punktes, sofern notwendig
Russian literature / Mapping fifty years of 'Russian Literature': topics, themes and trends
No full textThe goal of this article is twofold. On the one hand I want to outline the main topics, themes and trends of the past 123 (at the time of writing) issues of Russian Literature and shed some light on the journal’s main subject areas. On the other hand, I show how ‘traditional’ topic modeling visualizations such as topic distributions per document, word distributions per topic, and time series of topic distributions, can be complemented by novel approaches such as the topic map, which significantly facilitates the interpretation of the corpus structure and document similarities. Moreover, topic maps reduce the need to make sense of individual topics and allow the researcher to focus directly on the texts themselves and on the corpus as a whole.Version of recor
Are We Reading Literature or Comics? The Comic as a University Didactic Intervention on the Path to Multiliteracies
No full textThis article shows how comics can be used in university seminars on literature to strengthen stu-dents’ competencies in relation to the so-called “multiliteracies”. This concept was developed by the New London Group (1996) and proposes a multimodal approach, while at the same time drawing attention to socio-political contexts and inter- or transcultural issues – and has often been reduced to a mere media perspective, especially in the field of literature didactics and comics. By contrast, I aim to take up the original concept of “multiliteracies” and – enhanced by Jens Schröter’s theory (2008) of the “primordial-intermedial network” – to use selected Czech comics to show how reading them can open up a new view of literary texts and, ultimately, of languages and cultures in their entirety.This article shows how comics can be used in university seminars on literature to strengthen students’ competencies in relation to the so-called “multiliteracies”. This concept was developed by the New London Group (1996) and proposes a multimodal approach, while at the same time drawing attention to socio-political contexts and inter- or transcultural issues – and has often been reduced to a mere media perspective, especially in the field of literature didactics and comics. By contrast, I aim to take up the original concept of “multiliteracies” and – enhanced by Jens Schröter’s theory (2008) of the “primordial-intermedial network” – to use selected Czech comics to show how reading them can open up a new view of literary texts and, ultimately, of languages and cultures in their entirety
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
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