
图书情报工作 ›› 2020, Vol. 64 ›› Issue (8): 125-133.DOI: 10.13266/j.issn.0252-3116.2020.08.014
杨玉宇1, 张鹏翼2
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:
Yang Yuyu1, Zhang Pengyi2
Received:
2019-03-21
Revised:
2019-09-25
Online:
2020-04-20
Published:
2020-04-20
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。
中图分类号:
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.
[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. |
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