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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 …
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
Open Science initiatives prompt machine learning (ML) researchers and experts to share
source codes-" scientific artifacts"-alongside research papers via public repositories such as …
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 …
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
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 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 …
negative information may cause an outbreak of public opinion crisis. Accurately predicting …
Bibliometric analysis of granger causality studies
Granger causality provides a framework that uses predictability to identify causation
between time series variables. This is important to policymakers for effective policy …
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
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 …
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
Effectively understanding and enhancing communication flows among employees within an
organizational hierarchy is crucial for optimizing operational and decision-making efficiency …
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 …
and students are prone to emotional resonance with food safety. It triggered heated …
Lgb: Language model and graph neural network-driven social bot detection
Malicious social bots achieve their malicious purposes by spreading misinformation and
inciting social public opinion, seriously endangering social security, making their detection a …
inciting social public opinion, seriously endangering social security, making their detection a …