A Neutrosophic Algebraic Framework for Modeling the Interactive Communication of Ethnic Music in the Internet Era

Abstract

 In the era of globalized digital media, ethnic music is increasingly shared and 
consumed through online platforms. However, the reception of such music is rarely 
uniform: it varies across cultural, cognitive, and emotional dimensions. Traditional 
statistical or binary models are incapable of capturing the simultaneous truth, ambiguity, 
contradiction, and rejection often found in listener interpretations of ethnic music. In this 
paper, we propose a novel algebraic and quadripartitioned neutrosophic framework to 
model the interactive communication of ethnic music in digital environments. The model 
introduces new operators to handle the uncertainty and opposition present in listener 
feedback, defines the alignment and dissonance measures between musical intent and 
user perception, and provides a robust case study using simulated data for a traditional 
Kurdish folk song. This approach not only enhances the mathematical modeling of 
cultural media reception but also supports practical applications such as adaptive music 
recommendation, audience segmentation, and cultural feedback diagnosis on platforms 
like YouTube and Spotify. 

DOI: 10.5281/zenodo.15843806