Recently, social media has been considered the fastest medium for information broadcasting and sharing. Considering the wide range of applications such as viral marketing, political campaigns, social advertisement, and so on, influencing characteristics of users or tweets have attracted several researchers. It is observed from various studies that influential messages or users create a high impact on a social ecosystem. In this study, we assume that public opinion on a social issue on Twitter carries a certain degree of emotion, and there is an emotion flow underneath the Twitter network. In this article, we investigate social dynamics of emotion present in users’ opinions and attempt to understand (i) changing characteristics of users’ emotions toward a social issue over time, (ii) influence of public emotions on individuals’ emotions, (iii) cause of changing opinion by social factors, and so on. We study users’ emotion dynamics over a collection of 17.65M tweets with 69.36K users and observe 63% of the users are likely to change their emotional state against the topic into their subsequent tweets. Tweets were coming from the member community shows higher influencing capability than the other community sources. It is also observed that retweets influence users more than hashtags, mentions, and replies.

中文翻译：

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推特舆论情绪动态

最近，社交媒体被认为是信息传播和分享最快的媒介。考虑到病毒营销、政治运动、社交广告等广泛的应用，影响用户或推文的特征吸引了一些研究人员。从各种研究中可以看出，有影响力的消息或用户对社会生态系统产生了很大的影响。在这项研究中，我们假设 Twitter 上关于社会问题的舆论带有一定程度的情感，并且在 Twitter 网络下存在情感流动。在本文中，我们调查了用户意见中存在的情绪的社会动态，并试图了解（i）用户情绪随着时间的推移对社会问题的变化特征，（ii）公众情绪对个人情绪的影响，(iii) 社会因素导致意见改变的原因等。我们在 1765 万条推文和 6936 万用户中研究了用户的情绪动态，并观察到 ​​63% 的用户可能会将他们针对该主题的情绪状态转变为随后的推文。来自成员社区的推文显示出比其他社区来源更高的影响力。还观察到，转推对用户的影响大于主题标签、提及和回复。