Interdisciplinary StudiesScientific Reports
A data-driven short video international communication model based on indicator system communication network and attention BiLSTM neural network
J. Song and J. Liu
Short videos are reshaping global media — this study analyzes TikTok’s international communication patterns by building a key objective indicator system and coupling it with the KOIS-PN and AT-BILSTM neural network models to map cross-border spread. Experimental results show the KOISPN-ATBILSTM model advances validity in modeling international short video communication. This research was conducted by Jinbao Song and Jing Liu.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Engineering and Technology
A tactile sensor system with sensory neurons and a perceptual synaptic network based on semivolatile carbon nanotube transistors
S. Kim, Y. Lee, et al.
Transportation
High-speed rail new towns and their impacts on urban sustainable development: a spatial analysis based on satellite remote sensing data
S. Zou, X. Fan, et al.
Business
Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining
J. Fan, L. Peng, et al.
Environmental Studies and Forestry
Do fossil fuel firms reframe online climate and sustainability communication? A data-driven analysis
R. Debnath, D. Ebanks, et al.
