Collaborative Film Language Analysis in the Networked Information Era
Bibliographic Data
| ID | 6127665 |
|---|---|
| Authors | Allison Cooper (0000-0002-5738-3562, Bowdoin College, corresponding author) |
| Year | 2021 |
| Volume | 41 |
| Issue | 2 |
| Pages | 175-184 |
| Publication date | 2021-05-04 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Italianist (JOURNAL) |
| Journal identifiers | ISSN: 1748-619X • E-ISSN: 0261-4340 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02614340.2021.1992098 |
| OpenAlex | W4200046336 |
| Language | EN |
This article explores new approaches to film analysis made possible through collaborations among film and media scholars, information scientists, and computer scientists. It examines in particular strategies for developing the field of digital film analysis through the creation of a film language ontology, improvements in machine learning in relation to film language, and academic crowdsourcing. It considers the role of a specific knowledge platform, Kinolab, in relation to more traditional forms of film analysis, contextualising the application of digital methodologies within the broader study of film language and challenges of film analysis
Crowdsourcing · Data science · Epistemology · Field (mathematics · Linguistic analysis · Linguistics · Ontology · Relation (database · World Wide Web · Cinema and Media Studies · Computer Science · Explainable Artificial Intelligence (XAI · Law in Society and Culture
| Highly cited | No |
|---|