摘要
文章探索用户网络健康视频关注度影响因素及用户关注度与满意度间的潜在关联,以便为视频媒体精准选取用户关注的健康类话题、优化视频内容提供参考,加深用户对健康知识的了解,提高全民健康素养,助力“健康中国”战略实施。使用python爬取弹幕数据,利用LDA模型聚类文本主题并对文本进行情感分析,构建“关注度-满意度”框架以获知用户满意度与关注度间的潜在关联。研究发现:视频点赞量、投币量、弹幕量等浏览数据是用户衡量健康视频内容及受欢迎程度的重要指标;用户关注度随时间逐渐增加;突发公共卫生事件会吸引用户主动关注;更贴近生活的健康话题的用户关注度高,娱乐性为主的健康视频用户关注度低。
This paper tries to explore the influencing factors of online health video audience’s attention as well as the potential correlation between video audience’s attention and satisfaction,aiming to help the video media to select health topics for viewers more precisely and optimize their video contents, deepen video audience’s knowledge of health,improve national health literacy,and promote the “Healthy China” initiative as well.Python is used to crawl the video barrages,the LDA model is used to cluster text topics and make a sentiment analysis of the text,and an “attention-satisfaction” framework is constructed to analyze the potential correlation between audience’s attention and satisfaction. The result shows that viewing data including the amount of likes,coins,and barrages are important indicators for users to measure the contents and popularity of online health videos;audience’s attention is gradually increasing over time;public health emergencies would attract more viewers to pay attention;health topics closely related to life are inclined to have more attention, while entertainment-oriented health videos have less attention.
作者
王文韬
陈千
张肖
张晨
WANG Wentao;CHEN Qian;ZHANG Xiao;ZHANG Chen
出处
《图书馆论坛》
CSSCI
北大核心
2022年第3期98-107,共10页
Library Tribune
基金
国家社会科学基金项目“融合SOR理论的网络健康信息搜寻行为与优化策略研究”(项目编号:19CTQ024)
安徽省高校人文科学研究项目“融合SOR理论的消费者在线健康信息甄别机制与差异化研究”(项目编号:SK2019A0004)和“融合网络弹幕视频的课程思政建设及效果研究”(项目编号:hyjyzd202003)研究成果。
关键词
弹幕
用户关注度
情感分析
网络健康视频
barrage
user attention
sentiment analysis
online health video
