Qualitative Content Analysis of Isfahan Telegram Channels

Users make many choices every day in the process of using social networks, each of which represents a part of their opinions and interests. In this research we looking for this question, are the telegram users have most interest to which type of posts from content analysis method and what is the content of this posts? The research method is conventional qualitative content analysis with inductive logic. Data collection is done from DCS method by an innovation software That can be an innovative event in social science study and research specially social networks studies. Purposeful sampling was done among 18 channels of Isfahan-based shared posts based on defined criteria and finally coding was done on 135 posts. According to the results of the research, five main categories are visible in posts liked by Isfahan users, namely "tendency for criticismtendency to know" and "Isfahan's Identity" is described below with examples of each of the categories and sub-categories.