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

被引:0
作者
Su, Sini [1 ]
Dai, Yusong [1 ]
Xu, Xiaoke [2 ]
Zhong, Zhijin [1 ]
机构
[1] Sun Yat Sen Univ, Sch Journalism & Commun, Guangzhou, Peoples R China
[2] Beijing Normal Univ, Sch Journalism & Commun, Beijing, Peoples R China
关键词
Diffusion network differences; Social media; Entertainment information; Public information; Computational method; NEWS; CHOICE; GAPS;
D O I
10.1016/j.ipm.2025.104087
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Inferring User Situations from Interaction Events in Social Media
    Kabir, Muhammad Ashad
    Han, Jun
    Yu, Jian
    Colman, Alan
    COMPUTER JOURNAL, 2015, 58 (09) : 2026 - 2043
  • [42] Situation or Social Problem: The Influence of Events on Media Coverage of Homelessness
    Best, Rachel
    SOCIAL PROBLEMS, 2010, 57 (01) : 74 - 91
  • [43] A peak detection method to uncover events from social media
    Comito, Carmela
    Falcone, Deborah
    Talia, Domenico
    2017 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2017, : 459 - 467
  • [44] Multidimensional Analysis of Hot Events from Social Media Sources
    Troudi, Abir
    Jamoussi, Salma
    Zayani, Corinne Amel
    Amous, Ikram
    SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING, 2019, : 2112 - 2119
  • [45] Entertainment Education: the debate on issues of public interest on social media devoted to television fiction
    Lacalle, Charo
    Sanchez, Mariluz
    HISTORIA Y COMUNICACION SOCIAL, 2020, 25 (01): : 213 - 221
  • [46] Information Diffusion in Halal Food Social Media: A Social Network Approach
    Mostafa, Mohamed M.
    JOURNAL OF INTERNATIONAL CONSUMER MARKETING, 2021, 33 (04) : 471 - 491
  • [47] Investigating Social Media Utilization and Challenges in the Governmental Sector for Crisis Events
    Afandi, Waleed
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (10) : 202 - 207
  • [48] Social media: Credibility, popularity and its benefits towards events' awareness
    Zamri, M. H.
    Darson, M. D.
    Wahab, A. M. F.
    THEORY AND PRACTICE IN HOSPITALITY AND TOURISM RESEARCH, 2015, : 317 - 321
  • [49] Detection of Damage and Failure Events of Road Infrastructure Using Social Media
    Musaev, Aibek
    Jiang, Zhe
    Jones, Steven
    Sheinidashtegol, Pezhman
    Dzhumaliev, Mirbek
    WEB SERVICES - ICWS 2018, 2018, 10966 : 134 - 148
  • [50] The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study
    Zhang, Zizheng
    Feng, Guanrui
    Xu, Jiahong
    Zhang, Yimin
    Li, Jinhui
    Huang, Jian
    Akinwunmi, Babatunde
    Zhang, Casper J. P.
    Ming, Wai-kit
    JMIR PUBLIC HEALTH AND SURVEILLANCE, 2021, 7 (11):