Title | ||
---|---|---|
Time-based tags for fiction movies: comparing experts to novices using a video labeling game. |
Abstract | ||
---|---|---|
The cultural heritage sector has embraced social tagging as a way to increase both access to online content and to engage users with their digital collections. In this article, we build on two current lines of research. a We use Waisda?, an existing labeling game, to add time-based annotations to content. b In this context, we investigate the role of experts in human-based computation nichesourcing. We report on a small-scale experiment in which we applied Waisda? to content from film archives. We study the differences in the type of time-based tags between experts and novices for film clips in a crowdsourcing setting. The findings show high similarity in the number and type of tags mostly factual. In the less frequent tags, however, experts used more domain-specific terms. We conclude that competitive games are not suited to elicit real expert-level descriptions. We also confirm that providing guidelines, based on conceptual frameworks that are more suited to moving images in a time-based fashion, could result in increasing the quality of the tags, thus allowing for creating more tag-based innovative services for online audiovisual heritage. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1002/asi.23656 | JASIST |
Field | DocType | Volume |
Data mining,World Wide Web,Information retrieval,Cultural heritage,Computer science,Crowdsourcing,Digital collections,Conceptual framework,Multimedia | Journal | 68 |
Issue | ISSN | Citations |
2 | 2330-1635 | 0 |
PageRank | References | Authors |
0.34 | 38 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liliana Melgar Estrada | 1 | 0 | 0.34 |
Michiel Hildebrand | 2 | 319 | 27.31 |
Victor de Boer | 3 | 181 | 29.78 |
Jacco van Ossenbruggen | 4 | 817 | 87.89 |