"I don't understand it so it can't be good": Users' acg domain expertise and perceived quality of video tags. Issue 1 (18th October 2019)

• Record Type: Journal Article
• Authors: Tong, Liuyi; Lin, Hui; Zhang, Pengyi
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 56:Issue 1(2019)
• Page Start: 780
• Page End: 782
• Publication Date: 2019-10-18
• Subjects: Domain expertise -- tag quality -- user perception -- folksonomy; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.174
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: Tag quality is an important factor to the success of social tagging systems and platforms. Users' domain expertise may influence they perceive tag quality. This study aims to explore how users of different domain experience (frequent user, occasional user, and non‐user) perceive the quality of the same tags. We examined an online video community, Bilibili, which specializes in Anime, Comic and Games (ACG) subculture. We asked 60 users to watch 15 videos and rate the 95 tags of these videos, and found that: 1) Users with more domain expertise give higher ratings for tags' relevance to the videos and their retrieval value; 2) Occasional users have the lowest understandability rating, followed by non‐users, and frequent users; 3) users think high‐frequency tags are less suitable for retrieval. These results may provide insights to high quality tag selection for personalized recommendation and retrieval.