Linguistic Inequality in Digital Spaces: A Study of Power Structures, Access, and Algorithmic Marginalization
DOI:
https://doi.org/10.63163/srh252Abstract
This paper researches the problem of linguistic inequality in the online world, yet focuses on how power relations, and access as well as algorithmic marginalization shape the online language representation. Since digital mediums are becoming the preferred medium through which the world communicates they also dictate what languages become visible and legitimate. Based on the experience of sociolinguistics and digital discourse studies, the research reveals how structural and technological conditions play a role in the dissimilarity of linguistic achievement. The paper follows a mixed-method, using corpus-based analysis of online materials together with a qualitative analysis of the mechanisms of platforms and users experience. The results indicate that those languages, which are predominant and resource rich, are continuously given precedence in the digital space and enjoy more visibility, accessibility and are given greater algorithmic favoring. However, there is systematic exclusion of minority and low-resource languages which are often related to scarce data supplies and less commercial utility.
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