Comparative Analysis of Information Spreading Focused on Topics and Emotions via Temporal Point Process
Comparative Analysis of Information Spreading Focused on Topics and Emotions via Temporal Point Process
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DOI：
10.1109/wi-iat55865.2022.00077
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Kennosuke Yoshida;Takayasu Fushimi
中科院分区：
文献类型：
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作者：
Kennosuke Yoshida;Takayasu Fushimi
SNS是允许用户自由、坦率地表达意见的基础设施，上传的内容种类繁多。由于它是免费的，所以经常会看到有争议的言论被发布，其他人的帖子被不负责任地通过转发等方式传播。据日本总务省的一项调查显示，是否转发的标准是内容是否有趣和内容是否被同情，而不是来源的可靠性。在本研究中，我们分析了社交网络上的传播是否会因话题、积极/消极以及发布内容的情绪类型而有所差异。我们通过主题分类、正负分类和情感分类对此类推文进行分类，并分析分类类在转发数、平均发布间隔、Hawkes过程中自激和互激强度等方面的差异。通过分析，我们发现班级间各项指标存在显著差异。
SNS is used as an infrastructure that allows users to freely and frankly express their opinions, and a wide variety of contents are posted. Since it is free, it is often seen that controversial remarks are posted and other people’s posts are irresponsibly spread by methods such as retweeting. A survey by the Ministry of Internal Affairs and Communications in Japan reported that the criteria for whether or not to retweet were based on whether the content was interesting and whether the content sympathized with, rather than on the reliability of the source. In this study, we analyze whether there is a difference in diffusion on SNS depending on the topic, positive/negative, and the type of emotion of the posted contents. We classify such tweets by topic classification, positive-negative classification, and sentiment classification, and analyze the differences between the classified classes in terms of the number of retweets, the average posting interval, and the intensity of self-excitation and mutual excitation in Hawkes process. As a result of the analysis, we found significant differences in various indices among classes.