Determining the Dimensions and Presenting a Model of Immigration Discourse in Social Media

The aim of the current research was to provide a model of the discourse of immigrants in social media. This research was conducted as a qualitative study based on the phenomenological approach and through content analysis. Information was collected from posts on virtual networks. After implementing the data on paper, during the multi-stage process of identifying concepts related to immigration priorities in the discourse of social media users and reducing them, first in the initial interpretation stage and through the identification of obvious and hidden semantic units and their coding, a total of 985 codes Re-identified. Then, through integration based on conceptual similarity, the open codes were reduced to 329 primary concepts. The initial concepts entered the construction phase, during construction, the initial concepts were placed in semantic clusters based on the conceptual similarities and differences between them. In this way, 107 secondary concepts were obtained. Further, by classifying and organizing secondary concepts and comparing them, 48 concepts focused on a higher abstract level were extracted from the data as discourse indicators of migration. Then, 15 sub-themes were identified in the focused concepts, and at the end, by classifying the sub-themes, 5 main themes or 5 main categories including quality of life, employment, education, socio-political and environment were determined as the dimensions of the immigration discourse in social networks. The immigration discourse model in social networks can be a way forward for policies adopted in the field of immigration and brain drain.