Competition or coexistence: Diffusion network differences between entertainment events and public events on social media

IF 6.9 1区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Processing & Management Pub Date : 2025-02-12 DOI:10.1016/j.ipm.2025.104087
Sini Su , Yusong Dai , Xiaoke Xu , Zhijin Zhong
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Abstract

There is a prevalent concern that public information will be marginalized due to the prevailing preference for entertainment content on social media, consequently impacting public engagement. Despite extensive discussions, the relationship between entertainment and public affairs remains ambiguous. Unlike the majority of relative studies that examine broad phenomena or topics, we focus on event-specific diffusion networks, thereby avoiding ambiguous information categorization. Specifically, we separately selected 10 of the most influential events that happened from 9:00 to 15:00 on June 23, 2021, in both entertainment and public fields on Weibo. The collected dataset comprises 4,361,793 original posts, 16,511,446 reposts, and 10,557,370 users. Based on the diffusion network of entertainment events with those of public events, we observed that entertainment events do not divert attention from public events closely associated with people's lives. This remains the case despite entertainment events steadily exhibiting higher diffusion characteristics than those of most public events. Notably, public events can sustain public attention and discussions for longer. In addition, there are differences between the early followers of public events and entertainment events. The former predominantly comprises unverified users, while the latter mainly consists of verified users. Overall, the flow of sentiment tends to be consistent, stable, and transferable in both types of events. This study also utilized event data from June to December 2020, which underwent a complete diffusion process, to reaffirm these findings, thereby validating their explanatory power on a larger scale.
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竞争还是共存?社交媒体上娱乐活动与公共活动的扩散网络差异
人们普遍担心,由于社交媒体上对娱乐内容的普遍偏好,公共信息将被边缘化,从而影响公众参与。尽管进行了广泛的讨论,但娱乐和公共事务之间的关系仍然模糊不清。与大多数研究广泛现象或主题的相关研究不同,我们专注于特定事件的扩散网络,从而避免了模糊的信息分类。具体来说,我们分别选取了2021年6月23日9:00 - 15:00在微博上发生的娱乐和公共领域最具影响力的10个事件。收集到的数据集包括4361,793个原始帖子,16,511,446个转发,10,557,370个用户。基于娱乐事件与公共事件的扩散网络,我们观察到娱乐事件不会转移人们对与人们生活密切相关的公共事件的注意力。尽管娱乐事件稳定地表现出比大多数公共事件更高的扩散特征,但情况仍然如此。值得注意的是,公共事件可以使公众的关注和讨论持续更长时间。此外,公共事件的早期关注者与娱乐事件的早期关注者也存在差异。前者主要由未经验证的用户组成,后者主要由经过验证的用户组成。总的来说,在这两种类型的事件中,情绪的流动倾向于一致、稳定和可转移。本研究还利用2020年6月至12月的事件数据进行了完整的扩散过程,以重申这些发现,从而在更大范围内验证其解释力。
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来源期刊
Information Processing & Management
Information Processing & Management 工程技术-计算机:信息系统
CiteScore
17.00
自引率
11.60%
发文量
276
审稿时长
39 days
期刊介绍: Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.
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