Ralph Ewerth
Biographic Data
| ID | 9611709 |
|---|---|
| NAME | Ralph Ewerth |
| GIVEN NAMES | Ralph |
| FAMILY NAME | Ewerth |
| SIGNATURE | EWERTH R |
| AFFILIATIONS | Technische Informationsbibliothek (TIB) |
| ORCID | 0000-0003-0918-6297 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Contrasting public, market-driven and populist news videos on Covid-19
This paper introduces a novel method for investigating how public service, market-driven, and populist news outlets differ in their construction of ideological positions in audiovisual reporting. A semi-automatic framework of multimodal semiotic content analysis is presented that combines computational audiovisual feature detection with theory-driven manual annotation of discourse and narrative elements and shows early results concerning the cons…
Learning analytics and the Universal Design for Learning (UDL)
In the context of inclusive education, Universal Design for Learning (UDL) is a framework used worldwide to create learning opportunities accessible to all learners. While much research focused on the design and students' perceptions of UDL-based learning settings, studies on students’ usage patterns in UDL-guided elements, particularly in digital environments, are still scarce. Therefore, we analyze and cluster the usage patterns of 9th and 10th…
Pushing the button
With the recent surge in digitalization across all levels of education, online video platforms gained educational relevance. Therefore, optimizing such platforms in line with learners’ actual needs should be considered a priority for scientists and educators alike. In this project, we triangulate logfiles of a large German online video platform for educational videos with behavioral data from a laboratory study and the objective characteristics o…
Automated Visual Content Analysis for Film Studies
Lots of approaches for automated video analysis have been suggested since the 1990ies, which have the potential to support quantitative and qualitative analysis in film studies. However, software solutions for the scholarly study of film that utilise video analysis algorithms are still relatively rare. In this paper, we aim to provide an overview of related work in this field, review current developments in computer vision, compare machine and hu…
No prominent works on this page.
Automated Visual Content Analysis for Film Studies
Lots of approaches for automated video analysis have been suggested since the 1990ies, which have the potential to support quantitative and qualitative analysis in film studies. However, software solutions for the scholarly study of film that utilise video analysis algorithms are still relatively rare. In this paper, we aim to provide an overview of related work in this field, review current developments in computer vision, compare machine and hu…
Pushing the button
With the recent surge in digitalization across all levels of education, online video platforms gained educational relevance. Therefore, optimizing such platforms in line with learners’ actual needs should be considered a priority for scientists and educators alike. In this project, we triangulate logfiles of a large German online video platform for educational videos with behavioral data from a laboratory study and the objective characteristics o…
Learning analytics and the Universal Design for Learning (UDL)
In the context of inclusive education, Universal Design for Learning (UDL) is a framework used worldwide to create learning opportunities accessible to all learners. While much research focused on the design and students' perceptions of UDL-based learning settings, studies on students’ usage patterns in UDL-guided elements, particularly in digital environments, are still scarce. Therefore, we analyze and cluster the usage patterns of 9th and 10th…
Contrasting public, market-driven and populist news videos on Covid-19
This paper introduces a novel method for investigating how public service, market-driven, and populist news outlets differ in their construction of ideological positions in audiovisual reporting. A semi-automatic framework of multimodal semiotic content analysis is presented that combines computational audiovisual feature detection with theory-driven manual annotation of discourse and narrative elements and shows early results concerning the cons…
Computer Science (3 works) · Artificial Intelligence (2 works) · Content analysis (2 works) · German (2 works) · Analytics (1 work) · Annotation (1 work) · Cluster analysis (1 work) · Comprehension (1 work) · Computational and Text Analysis Methods (1 work) · Data science (1 work)