视频社会化标引与标引娱乐化研究——以哔哩哔哩弹幕网为例

doi:10.13266/j.issn.0252-3116.2020.08.014

图书情报工作 ›› 2020, Vol. 64 ›› Issue (8): 125-133.DOI: 10.13266/j.issn.0252-3116.2020.08.014

视频社会化标引与标引娱乐化研究——以哔哩哔哩弹幕网为例

杨玉宇¹, 张鹏翼²

1 北卡罗莱纳大学教堂山分校信息与图书馆学院教堂山 27599;
2 北京大学信息管理系北京 100871

收稿日期:2019-03-21 修回日期:2019-09-25 出版日期:2020-04-20 发布日期:2020-04-20
通讯作者: 张鹏翼(ORCID:0000-0003-0624-6776),副教授,博士,通讯作者,E-mail:pengyi@pku.edu.cn
作者简介:杨玉宇(ORCID:0000-0003-0926-1293),博士研究生。
基金资助:
本文系国家自然科学基金青年项目"知识社区在线协作动态研究：构成、因素与演变"（项目编号：71603012）研究成果之一。

Social Tagging of ACG Video Contents and the Entertainment Tagging Trend: A Case Study of Bilibili.com

Yang Yuyu¹, Zhang Pengyi²

1 School of Information and Library Science, University of North Carolina, Chapel Hill 27599;
2 Department of Information Management, Peking University, Beijing 100871

Received:2019-03-21 Revised:2019-09-25 Online:2020-04-20 Published:2020-04-20

摘要/Abstract

摘要： [目的/意义] 随着视频资源的广泛使用，视频社会化标引中出现了新的表达用户观点情感的标引目的，而并非以传统的信息组织和检索为目的。对哔哩哔哩弹幕网（简称"B站"）的视频标签进行分析研究，以探索视频标签内容和视频标引新趋势——娱乐化标引。[方法/过程] 采用日志分析与用户访谈等定性、定量相结合的方法，对视频标签内容、娱乐标引的标引动机与作用进行研究。[结果/结论] ①用户最常使用的视频标签类型是"内容主题"与"人物主体"；②娱乐标签是B站标签内容的重要组成部分；③用户使用娱乐标签的动机多为社交交流型；④娱乐标签有很多特殊的、区别于传统标签的作用，如"提高视频观看体验"等。本研究对视频标引内容与娱乐化标引进行了初步的探索，研究结果有利于进一步了解视频标引以及社会标引的新趋势。

关键词: 社会标引, 视频标引, 娱乐标引, 哔哩哔哩弹幕网

Abstract: [Purpose/significance] Social tagging is used widely used in organizing user generated web contents. However, relatively less is known about the new motivations behind social tagging of user generated video contents. This paper analyzes Bilibili.com’s video tags to explore the new entertainment trend in video tagging. [Method/process] It used a mixed-method approach by content analysis and interviews to understand the use of video tags to study the tag content, motivations and functions of the entertaining tags. [Result/conclusion] ①The most common types of video tags used by users are "content theme" and "people". ②Entertainment tags are an important part of the content of B-station tags. ③ The motivation of users to use entertainment tags is mostly for social communication and interaction. ④Entertainment tags have special functions in addition to traditional tags, such as "improving video viewing experience". This study provides some preliminary results on the tagging of ACG videos and insights to further understand the new trends of video indexing and social tagging.

Key words: social tagging, video tagging, entertainment tagging, bilibili

中图分类号:

G254

杨玉宇, 张鹏翼. 视频社会化标引与标引娱乐化研究——以哔哩哔哩弹幕网为例[J]. 图书情报工作, 2020, 64(8): 125-133.

Yang Yuyu, Zhang Pengyi. Social Tagging of ACG Video Contents and the Entertainment Tagging Trend: A Case Study of Bilibili.com[J]. LIS, 2020, 64(8): 125-133.

参考文献

[1] 翟爽, 宋文. 社会标签进展研究概述[J]. 图书情报工作, 2010,54(20):41-44,143.
[2] ŠPIRANEC S, IVANJKO T. Experts vs. novices tagging behavior:an exploratory analysis[J]. Procedia-social and behavioral sciences, 2013, 73:456-459.
[3] ROLLA P J. User tags versus subject headings[J]. Library resources & technical services, 2011, 53(3):174-184.
[4] LU C, PARK J, HU X. User tags versus expert-assigned subject terms:a comparison of LibraryThing tags and Library of Congress subject headings[J]. Journal of information science, 2010, 36(6):763-779.
[5] RORISSA A. A comparative study of Flickr tags and index terms in a general image collection[J]. Journal of the American Society for Information Science and Technology, 2010, 61(11):2230-2242.
[6] RANSOM N, RAFFERTY P. Facets of user-assigned tags and their effectiveness in image retrieval[J]. Journal of documentation, 2011, 67(6):1038-1066.
[7] DARVISH S, CHIN A. Dealing with the video tidal wave:the relevance of expertise for video tagging[C]//Proceedings of the 21st ACM conference on hypertext and hypermedia. New York:ACM, 2010:289-290.
[8] POSTMAN N. Amusing ourselves to death:public discourse in the age of show business[M]. New York:Penguin, 2006.
[9] BEAUDOIN J. Folksonomies:Flickr image tagging:patterns made visible[J]. Bulletin of the Association for Information Science and Technology, 2007, 34(1):26-29.
[10] 李艳华. 日本二次元文化在中国的传播与影响[J]. 新闻战线, 2016(12):127-128.
[11] SØBAK V, PHARO N. Decentralized subject indexing of television programs:the effects of using a semicontrolled indexing language[J]. Journal of the Association for Information Science and Technology, 2017, 68(3):739-749.
[12] GREISDORF H, O'CONNOR B. Modelling what users see when they look at images:a cognitive viewpoint[J]. Journal of documentation, 2002, 58(1):6-29.
[13] THOMPSON A E. Playing tag:an analysis of vocabulary patterns and relationships within a popular music folksonomy[D]. America:University of North Carolina, 2008.
[14] OOMEN J, GLIGOROV R, HILDEBRAND M. Waisda?:making videos findable through crowdsourced annotations[M]//Crowdsourcing our cultural heritage. London:Ashgate, 2014:161-184.
[15] GLIGOROV R, HILDEBRAND M, VAN OSSENBRUGGEN J, et al. On the role of user-generated metadata in audio visual collections[C]//Proceedings of the sixth international conference on knowledge capture. New York:ACM, 2011:145-152.
[16] ESTRADA L M, HILDEBRAND M, DE BOER V, et al. Time-based tags for fiction movies:comparing experts to novices using a video labeling game[J]. Journal of the Association for Information Science and Technology, 2017, 68(2):348-364.
[17] DOWMAN M, TABLAN V, CUNNINGHAM H, et al. Web-assisted annotation, semantic indexing and search of television and radio news[C]//Proceedings of the 14th international conference on World Wide Web. New York:ACM, 2005:225-234.
[18] PANOFSKY E, DRECHSEL B. Meaning in the visual arts[M]. Chicago:University of Chicago Press, 1955.
[19] SHATFORD S. Analyzing the subject of a picture:a theoretical approach[J]. Cataloging & classification quarterly, 1986, 6(3):39-62.
[20] JÖRGENSEN C. Attributes of images in describing tasks[J]. Information processing & management, 1998, 34(2/3):161-174.
[21] COATES T. Two cultures of fauxonomies collide[EB/OL].[2019-11-17]. http://plasticbag.org/archives/2005/06/two_cultures_of_fauxonomies_collide.
[22] HECKNER M, HEILEMANN M, WOLFF C. Personal information management vs. resource sharing:towards a model of information behavior in social tagging systems[C]//Third international AAAI conference on weblogs and social media. San Jose:AAAI, 2009:42-49.
[23] AMES M, NAAMAN M. Why we tag:motivations for annotation in mobile and online media[C]//Proceedings of the SIGCHI conference on human factors in computing systems. New York:ACM, 2007:971-980.
[24] SEN S, LAM S K, RASHID A M, et al. Tagging, communities, vocabulary, evolution[C]//Proceedings of the 2006 20th anniversary conference on computer supported cooperative work. New York:ACM, 2006:181-190.
[25] SEN S, RIEDL J. Folksonomy formation[J]. Computer, 2011, 44(5):97-101.
[26] BINKOWSKI P J. The effect of social proof on tag selection in social bookmarking applications[D]. Chapel Hill:University of North Caroline at Chapel Hill, 2006:41.
[27] YEW J, GIBSON F P, TEASLEY S. Learning by tagging:the role of social tagging in group knowledge formation[J]. Journal of online learning & teaching, 2006, 2(4):275-285.

视频社会化标引与标引娱乐化研究——以哔哩哔哩弹幕网为例

Social Tagging of ACG Video Contents and the Entertainment Tagging Trend: A Case Study of Bilibili.com

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