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Link-Rot in Web-Sourced Multimedia Datasets

Lakics, Viktor; Rossetto, Luca; Bernstein, Abraham (2023). Link-Rot in Web-Sourced Multimedia Datasets. In: Dang-Nguyen, Duc-Tien; Gurrin, Cathal; Larson, Martha; Smeaton, Alan F; Rudinac, Stevan; Dao, Minh-Son; Trattner, Christoph; Chen, Phoebe. MultiMedia Modeling. Cham: Springer, 476-488.

Abstract

The Web is increasingly used as a source for content of datasets of various types, especially multimedia content. These datasets are then often distributed as a collection of URLs, pointing to the original sources of the elements. As these sources go offline over time, the datasets experience decay in the form of link-rot. In this paper, we analyze 24 Web-sourced datasets with a combined total of over 270 million URLs and find that over 20% of the content is no longer available. We discuss the adverse effects of this decay on the reproducibility of work based on such data and make some recommendations on how they could be mediated in the future.

Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
08 Research Priority Programs > Digital Society Initiative
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scope:Discipline-based scholarship (basic research)
Language:English
Date:2023
Deposited On:29 Mar 2023 10:37
Last Modified:26 Feb 2025 02:37
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:13833
ISSN:0302-9743
ISBN:978-3-031-27076-5 (P) 978-3-031-27077-2 (E)
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/978-3-031-27077-2_37
Other Identification Number:merlin-id:23568

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