The model for the repeated propagation of information from constant spreaders based on individual cognition levels DOI
Yan Wang, Chunzhang Miao,

Chuanbiao Wang

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 680, P. 121159 - 121159

Published: July 9, 2024

Language: Английский

Spread of misinformation on social media: What contributes to it and how to combat it DOI
Sijing Chen, Lu Xiao,

Akit Kumar

et al.

Computers in Human Behavior, Journal Year: 2022, Volume and Issue: 141, P. 107643 - 107643

Published: Dec. 28, 2022

Language: Английский

Citations

95
An improved two-layer model for rumor propagation considering time delay and event-triggered impulsive control strategy DOI

Yafang Dong,

Liang’an Huo, Laijun Zhao

et al.

Chaos Solitons & Fractals, Journal Year: 2022, Volume and Issue: 164, P. 112711 - 112711

Published: Sept. 28, 2022

Language: Английский

Citations

32
A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation DOI Creative Commons
Katarzyna Czerniak,

Raji Pillai,

Abhi Parmar

et al.

Journal of the American Medical Informatics Association, Journal Year: 2023, Volume and Issue: 30(4), P. 752 - 760

Published: Jan. 27, 2023

Abstract Objective We provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding spread. Materials Methods applied our search protocol to PubMed, PsychINFO, Web Science screen 1666 articles. The 17 articles included in this paper are experimental interventional studies developed tested public consumer-facing DHIs. examined these DHIs understand digital features, incorporation theory, the role healthcare professionals, end-user experience, implementation issues. Results majority (n = 11) used social media DHIs, but there was lack platform-agnostic generalizability. Only half 9) specified framework, or model guide Nine involve professionals as design contributors. one DHI evaluated for user perceptions acceptance. Discussion translation advances online computing interventions is sparse. limited application behavioral theory cognitive models reasoning has resulted suboptimal targeting psychosocial variables individual factors may drive resistance misinformation. This affects large-scale community outreach efforts. optimized through community-engaged participatory methods enable understanding unique needs vulnerable communities urgently needed. Conclusions recommend engagement theory-guided engineering equitable It important consider problem multilevel lens illuminates personal, clinical, cultural, pathways negative consequences on human health wellness.

Language: Английский

Citations

18
Online public opinion prediction based on a novel seasonal grey decomposition and ensemble model DOI
Qi Su, Shuli Yan, Lifeng Wu

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 210, P. 118341 - 118341

Published: Aug. 5, 2022

Language: Английский

Citations

19
Classification and Detection of Rumors Related to COVID-19 Using Machine Learning-Based Smart Techniques DOI Creative Commons
Yancheng Yang, Jintao Zhai, Shah Nazir

et al.

SAGE Open, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 1, 2025

The COVID-19 coronavirus pandemic, a serious health risk, has affected information-related behavior and led to an upsurge in rumor-sharing on social media. Thus, combating necessitates rumors as well, which serves compelling incentive examine rumor-related during this unusual period. analysis of the prior literature was summarized current study. For this, number well-known libraries were searched, including ScienceDirect, Springer, ACM, IEEE Explore. proposed research is based detailed overview detection recognition different deceptive news about pandemic using various ML algorithms. It found that with implementation approach, it efficient perform classification information into real fake media platforms. After studying techniques, features have been identified from literature. Then, important extracted used process ranking. effective categorization available alternatives, Graph Theory Matrix Approach used. alternatives are ranked their permanent function values. study considered providing comprehensive data currently available. demonstrates many methods for analyzing literature, enabling students create fresh perspectives topic.

Language: Английский

Citations

0
Dynamical analysis of an I2EH2S2R information spreading model with opinion divergence DOI
Yan Wang, Mingyu Cui, Ming Liu

et al.

Computational and Applied Mathematics, Journal Year: 2025, Volume and Issue: 44(1)

Published: Jan. 28, 2025

Language: Английский

Citations

0
Dynamic Analysis of the Multi-Lingual S2IR Rumor Propagation Model Under Stochastic Disturbances DOI Creative Commons
Jinling Wang, Jing Liao,

Jun-Guo Lu

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(3), P. 217 - 217

Published: Feb. 20, 2025

This paper proposes a multi-lingual S2IR rumor propagation model with white noise disturbances, aiming to study its dynamics and stochastic optimal control strategies. Firstly, deterministic is developed within environment identify rumor-free rumor-spreading equilibria calculate the basic reproduction number R0. Secondly, incorporating perturbation developed, uniqueness of global positive solution examined. Meanwhile, asymptotic behaviors model’s near steady states are discussed. Thirdly, designed suppress spread rumors. Finally, correctness validity theoretical results verified through numerical simulation.

Language: Английский

Citations

0
The moderating effects of 5W-based elements on rumor refutation strategies on social media during public health emergency: A case study of COVID-19 pandemic DOI
Xuefan Dong,

Xueying Lian,

Xuefan Dong

et al.

Information Processing & Management, Journal Year: 2025, Volume and Issue: 62(4), P. 104131 - 104131

Published: March 10, 2025

Language: Английский

Citations

0
Dynamics of information propagation and intervention in the multiplatform coupled networks DOI
Fulian Yin, Jinxia Wang, Xinyi Tang

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127262 - 127262

Published: March 1, 2025

Language: Английский

Citations

0
An opinion evolution model for online social networks considering higher-order interactions DOI Creative Commons
Quan Liu,

Yuekang Yao,

Meimei Jia

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0321718 - e0321718

Published: April 16, 2025

As the number of users in online social networks increases, diffusion information and users’ opinions on events become more complex, making it difficult for traditional complex to accurately capture their characteristics patterns. To address this, this paper proposes an network opinion evolution model that accounts higher-order interactions. The incorporates effects group interactions introduces acceptance, non-commitment, rejection dimensions from judgment theory. Different approaches, such as neutrality, contrastive rejection, are adopted when individuals exchange with neighbors. Through numerical simulations, is shown significantly enhance speed coverage propagation. When interaction appropriate, increasing average size hyperedges contributes formation consensus. In contrast, simply nodes involved has a limited impact consensus formation. This work provides theoretical model-based foundation better understanding dynamics networks.

Language: Английский

Citations

0