Abstract To investigate ideological symmetries and asymmetries in the expression of online prejudice, we used machine-learning methods to estimate the prevalence of extreme hostility in a large dataset of Twitter messages harvested in 2016.We analyzed language contained in 730,000 tweets on the following dimensions of bias: (1) threat and intimidat
During the last decade, migration flows have greatly affected the Italian economy and demography.The trend is growing, not only because of the ideal geographic position for transit, but also due to the Italian economic structure, and business interest: Cheap labour is greatly in demand among employers.The increasing number of migrants has created a
Background: Workers have to spend a substantial proportion of their income on foods and despite the high prevalence of stress among them, little is known about the WHEY PROTEIN BLUE RASPBERRY association of dietary patterns and mental health disorders in this group.We examined whether dietary patterns are associated with depression and anxiety risk
The purpose of the study: theoretical and analytical substantiation of factors affecting the level of quality management of services of railway transport enterprises in Ukraine.The article analyzes the main scientific works of domestic and foreign scientists regarding the determination of the factors affecting the level of service quality managemen