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视频网站用户生成内容国内外发展动态及发展趋势 被引量:14

The Development Trend of User-generated Content on Video Websites at Home and Abroad
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摘要 【目的/意义】本文通过分析和收集国内外视频网站用户生成内容相关文献,以了解其在该领域的研究进展及研究趋势,为其在学术领域与商业领域等研究和应用提供借鉴与参考。【方法/过程】运用文献及知识图谱分析方法,对国内外视频网站用户生成内容的起源与发展、研究热点、未来发展趋势进行对比和可视化分析。【结果/结论】从研究发展趋势看,国内外相关研究成果的数量呈逐年递增态势;从研究热点来看,国外研究主要围绕视频网站用户生成内容上传行为、视频网站用户生成内容对消费者行为影响、UGC在社交网络中的传播研究;国内研究主要围绕移动短视频用户生成内容动因、用户生成内容对社交电商化的影响因素、视频网站用户生成内容对网络舆情的影响;从研究趋势看,此领域的未来研究主要围绕视频网站中UGC+PGC合作的专业生产内容、视频网站用户生成内容的生态治理、视频网站VLOG和弹幕评论相关研究。 【Purpose/significance】This article collects and analyzes the relevant literatures of user-generated content on video websites at home and abroad,in order to understand the current research progress and future research trends of user-generated content on video websites and provide reference and research for academic and industrial research.【Method/process】Using literature analysis and knowledge map visualization method,the origin and development of user-generated content on video websites at home and abroad,domestic and foreign research hotspots and future research trends are compared and visualized.【Result/conclusion】From the perspective of research and development trends,the number of relevant research results at home and abroad is increasing year by year.From the research hotspots,foreign research mainly focuses on the motivation of uploading UGC videos,the influence of user-generated content on consumers’behaviours and the dissemination of user-generated content in social networks.Domestic research mainly concentrates on motivation of user-generated contents in mobile short videos,the impact of UGC characteristics on socialized e-commerce and the impact of UGC videos on public opinions.From the research trend,future research should focus on the four main directions:the transformation from UGC to PUGC,copyright infringement of UGC videos,the research of VLOG on video websites and Danmaku comments.
作者 刘婷艳 王晰巍 贾若男 王微 LIU Ting-yan;WANG Xi-wei;JIA Ruo-na;WANG Wei(School of Management,Jilin University,Changchun 130022,China;Jlin Engineering Normal University,Changchun 130022,China;Bigdata Management Research Center,Jilin University,Changchun 130052,China)
出处 《情报科学》 CSSCI 北大核心 2020年第10期133-140,共8页 Information Science
基金 国家社科基金重大项目“大数据驱动的社交网络舆情主题图谱构建及调控策略研究”(18ZDA310)。
关键词 视频网站 用户生成内容 发展动态 发展趋势 video website user-generated content dynamic state of development development trend
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