Empirical research on distribution characteristics of online news comment

Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing Pub Date : 2017-03-22 DOI:10.1145/3018896.3018931

Ting Jin, Jian Wan, Huayou Si, Yajie Qi, Yongjian Ren

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引用次数: 0

Abstract

"No comments, no news." Readers' online comments have become an important part of online news. Over the last few years, researches and applications on online news comments have been carried out. However, there are a few of researches about the distribution characteristics of online news comments. In this paper, first, we collect about one hundred thousand online news with their comments from six news websites in a given time period, and then study the online news comments'spatial distribution among online news and temporal distribution during their appearance. The result shows that the distribution of online news comments is greatly uneven. A small amount of news possess the vast majority of comments, and most of the news only have a few of online comments or even have no following comments. In addition, it shows the growth rate of online comments drops rapidly during a news conference. The findings can provide theoretical support to collection of online news comments, analysis of hot issues and the concern-specific behaviors characteristics of general public.

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网络新闻评论分布特征的实证研究

“没有评论，没有新闻。”读者在线评论已经成为网络新闻的重要组成部分。近年来，人们对网络新闻评论进行了研究和应用。然而，关于网络新闻评论分布特征的研究却很少。本文首先从6家新闻网站收集了给定时间段内的约10万条网络新闻及其评论，然后研究了网络新闻评论在网络新闻中的空间分布及其出现时的时间分布。结果表明，网络新闻评论的分布极不均匀。少数新闻拥有绝大多数评论，而大多数新闻只有少数在线评论，甚至没有后续评论。此外，它还显示，在新闻发布会上，网上评论的增长率迅速下降。研究结果可以为网络新闻评论的收集、热点问题的分析以及公众关注的特定行为特征提供理论支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing

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