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
[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, flat, 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.
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