Turing instability analysis of a reaction–diffusion system for rumor propagation in continuous space and complex networks

B Li, L Zhu - Information Processing & Management, 2024 - Elsevier
Research on the propagation of online rumors necessitates careful consideration of rumor-
spreading mechanisms. Media correction, self-correction, and the time delays associated …

Papers with code or without code? Impact of GitHub repository usability on the diffusion of machine learning research

D Kang, TY Kang, J Jang - Information Processing & Management, 2023 - Elsevier
Open Science initiatives prompt machine learning (ML) researchers and experts to share
source codes-" scientific artifacts"-alongside research papers via public repositories such as …

[HTML][HTML] Risk disclosure and entrepreneurial resource acquisition in crowdfunding digital platforms: Evidence from digital technology ventures

H Huo, C Wang, C Han, M Yang, WL Shang - Information Processing & …, 2024 - Elsevier
The widespread development of digital technology facilitates the emergence of new
entrepreneurial modes, of which crowdfunding digital platforms are one. In the digital …

An exploratory analysis of COVID bot vs human disinformation dissemination stemming from the Disinformation Dozen on Telegram

LHX Ng, I Kloo, S Clark, KM Carley - Journal of Computational Social …, 2024 - Springer
The COVID-19 pandemic of 2021 led to a worldwide health crisis that was accompanied by
an infodemic. A group of 12 social media personalities, dubbed the “Disinformation Dozen” …

An enhanced IHHO-LSTM model for predicting online public opinion trends in public health emergencies

G Mu, J Li, Z Liao, Z Yang - SAGE Open, 2024 - journals.sagepub.com
Social networks accelerate information communication in public health emergencies. Some
negative information may cause an outbreak of public opinion crisis. Accurately predicting …

Bibliometric analysis of granger causality studies

WS Lam, WH Lam, SH Jaaman, PF Lee - Entropy, 2023 - mdpi.com
Granger causality provides a framework that uses predictability to identify causation
between time series variables. This is important to policymakers for effective policy …

Unveiling the veiled threat: the impact of bots on COVID-19 health communication

A Unlu, S Truong, N Sawhney… - Social Science …, 2024 - journals.sagepub.com
This article presents the results of a comprehensive study examining the influence of bots on
the dissemination of COVID-19 misinformation and negative vaccine stance on Twitter over …

[HTML][HTML] Examining communication network behaviors, structure and dynamics in an organizational hierarchy: A social network analysis approach

T Wen, Y Chen, TA Syed, D Ghataoura - Information Processing & …, 2025 - Elsevier
Effectively understanding and enhancing communication flows among employees within an
organizational hierarchy is crucial for optimizing operational and decision-making efficiency …

Research on online public opinion dissemination and emergency countermeasures of food safety in universities—take the rat head and duck neck incident in China …

J Liu, S Wang, Z Wang, S Chen - Frontiers in Public Health, 2024 - frontiersin.org
In recent years, food safety accidents have occurred frequently in colleges and universities,
and students are prone to emotional resonance with food safety. It triggered heated …

Lgb: Language model and graph neural network-driven social bot detection

M Zhou, D Zhang, Y Wang, Y Geng, Y Dong… - arxiv preprint arxiv …, 2024 - arxiv.org
Malicious social bots achieve their malicious purposes by spreading misinformation and
inciting social public opinion, seriously endangering social security, making their detection a …