Big Data Technologies in Modern Linguistic Tectology: Managing Systemic Risks and Environmental Turbulence

Abstract

The article explores the specifics, features and prospects for the development of Big Data technologies in modern linguistics in the context of the dynamics of uncertainty, turbulence and systemic risks. The possibilities of big data for corpus, sociolinguistic, discursive and intellectual analysis of linguistic information are revealed. The key problems of representativeness, data quality, algorithmic distortions and ethical limitations are identified. The prospects for integrating Big Data with artificial intelligence, machine learning and predictive analytics are substantiated.