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Cited 8 time in webofscience Cited 8 time in scopus
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A harmless webtoon for all: An automatic age-restriction prediction system for webtoon contents

Authors
Yu, H.Park, E.
Issue Date
Jan-2023
Publisher
Elsevier Ltd
Keywords
Age ratings; Content restriction; Machine learning; Media contents; Rating prediction; Webtoon
Citation
Telematics and Informatics, v.76
Indexed
SSCI
SCOPUS
Journal Title
Telematics and Informatics
Volume
76
URI
https://scholarx.skku.edu/handle/2021.sw.skku/101002
DOI
10.1016/j.tele.2022.101906
ISSN
0736-5853
Abstract
‘Webtoon’ a digital version of comics, is one of the leading mainstream cultural contents accessed in South Korea. While the country has allowed a number of webtoon service providers to launch their services in the market, the need to establish new conditions and regulations on webtoon services is crucial for both users and providers. Similar to other cultural formats (e.g., movies), there is a huge amount of demand for content-related restrictions and regulations. Responding to these regulations and the rapidly increasing contents, we aim to propose an automated webtoon content age restriction model using both machine learning and traditional restriction approaches. From a dataset containing webtoon descriptions and thumbnails, we achieved 81.88% of the F1-score and 79.09% accuracy in predicting each webtoon's age restrictions. © 2022 Elsevier Ltd
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