在线新闻评论生长规律研究  

Growth Pattern of Online News Comments

作　　者：宗红 薛春香[1,2] 陈芬 Zong Hong;Xue Chunxiang;Chen Fen(School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China;Jiangsu Collaborative Innovation Center of Social Safety Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学经济管理学院,南京210094 [2]江苏省社会公共安全科技协同创新中心,南京210094

出　　处：《数据分析与知识发现》2018年第9期50-58,共9页Data Analysis and Knowledge Discovery

基　　金：江苏省社会科学基金项目"新媒体环境下报纸新闻信息资源开发利用研究"(项目编号:14TQB10);国家自然科学基金项目"基于聚合的社会化短文本信息处理与细粒度倾向性分析"(项目编号:71503126);国家自然科学基金项目"基于情感倾向性分析的网络舆情意见领袖识别与对策研究"(项目编号:71303111)的研究成果之一

摘　　要：【目的】通过揭示在线新闻评论生长规律来发现在线新闻的老化规律,从而挖掘新闻信息的潜在价值。【方法】提出在线新闻评论生长特征的测度指标,包括生长周期、生长峰值、集中度绝对值、峰值集中指数和生长半衰期,并利用新浪新闻及其评论数据进行实证研究。【结果】研究发现,绝大多数在线新闻评论生长周期较短、生长峰值较小,评论峰值集中出现在靠前位置;其生长曲线主要有负指数型、平缓型、单峰型和多波段型4种类型;生长规律受新闻本身的老化特性、新闻发布时间、相关新闻事件或新闻后续事件的发生等因素影响。【局限】缺少其他新闻平台数据的对比研究。【结论】本文多指标测度了在线新闻评论的生长情况,并发现了4种显著的生长曲线。[Objective] This study tries to identify the growth law of online news comments, aiming to explore their aging rules and potential values. [Methods] We proposed the growth measurement index of online news comments, including their growth cycle, growth peak, absolute concentration value, peak concentration index, and growth half-life. Then, we used online news and comments from sina.com to conduct an empirical study. [Results] We found that most online news comments had short growth cycles, low growth peaks, and earlier positions of peak concentrations. There were four leading growth patterns, including negative exponential, fiat, uni-modal and multi-band. The growth of online news comments is affected by the aging of news, the time of news release, as well as the occurrence of relevant or the follow-up events. [Limitations] The sample data was from one website. [Conclusions] This paper analyzes the growth law of online news comments and identifies four types of growth patterns.

关 键 词：在线新闻评论 用户评论 信息老化 生长规律 

分 类 号：G203[文化科学—传播学] G206