{"title":"Distribution law of user comments on hot news","authors":"Hong Zong, Xiuzhi Wu, Chunxiang Xue, Fen Chen","doi":"10.1109/PIC.2017.8359592","DOIUrl":null,"url":null,"abstract":"The distribution of online news comments can reveal the rules of users behavior and laws of regional association, and facilitate governance of website society. This study takes comments of hot news as research objectives, and derives futures of comment distribution from three aspects, i.e., quantity, time and space. The time of comment distribution is affected by users' psychological rhythms and time arrangement. And the space of comment distribution is associated with regional economic levels, geographical locations and statuses. The study also finds that news with different themes or events has remarkable differences in comment distributions.","PeriodicalId":370588,"journal":{"name":"2017 International Conference on Progress in Informatics and Computing (PIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Progress in Informatics and Computing (PIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIC.2017.8359592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The distribution of online news comments can reveal the rules of users behavior and laws of regional association, and facilitate governance of website society. This study takes comments of hot news as research objectives, and derives futures of comment distribution from three aspects, i.e., quantity, time and space. The time of comment distribution is affected by users' psychological rhythms and time arrangement. And the space of comment distribution is associated with regional economic levels, geographical locations and statuses. The study also finds that news with different themes or events has remarkable differences in comment distributions.
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