Method of Distinguishing Styles by Fractal and Statistical Indicators of the Text as a Sequence of the Number of Letters in Its Words

The method of the analysis of different texts styles is developed in the paper. Integer numerical sequences are used as models. The elements of the sequence are the number of letters in the words of the text. The algorithm for calculating the exact value of the fractal dimension is developed. It provides the determination of the exact value of the Hurst index. The value of the power dependence constant is calculated. The obtained indicators in the aspect of fractality completely describe the objects of research.

Uberization of translation

Digital labour platforms, encompassing on-demand translation work via apps and websites, have grown exponentially in recent years and have significant consequences for translation workers. This study explores the critical literature on digital labour platforms from a labour studies perspective and submits the findings of a quantitative survey of 70 translation workers residing in Turkey and working on/for digital labour platforms. Our research suggests that the introduction of digital labour platforms into translation production and business networks has not yet provided a significant contribution to the working conditions of translation workers in Turkey. Instead, we argue that their working conditions have been rearranged and reorganized in accordance with the uberization of (translation) work. According to the survey findings, engaging in such work on/for digital labour platforms exposes translation workers to risks related to employment status, income level, work-life balance, social protections, free agency, bargaining power, dependence on the platform, allocation of risks and rewards, and data collection, protection and privacy.