The Role of Media in Consolidating Urban Security from Experts Viewpoint (Communication Sciences and Sociology)

Document Type : Research Paper

Abstract

Media provide a suitable context for public collaboration and participation by news coverage and informing the security and criminal events in desirable manners and offering appropriate education programs about social security necessity in the society and even learning how to protect property, life and honor. In other words, media are deemed as a new public field for dialogue between people through which they can contact and communicate together. As a result of this close relationship and understanding is caused by humans. According to these communication and closeness between people, mutual understanding is created. And Foes confrontation and violence are eliminated. Therefore, we have investigated role of media in creating urban security from communication sciences and sociology Experts viewpoint in this research. To do this, we have used the Q methodology. And 26 items were made to do the research. It is assumed that the items represent aspects of intellectual security / cultural Security / social security / political security / values enhancement security. The concepts raised in these items are the independent variables and the respondents agreement or disagreement rates with the content of each item are dependent variables of the study. By using a computer program, Quanel, Pearson correlation coefficient was calculated among 25 Communication Sciences experts and 25 Sociology experts. The Pearson correlation coefficient matrix indicates the correlation level between individual respondents with each other. The Pearson correlation coefficient was 0.038 between the two groups according to the responses average of any group to 26 items in the research which indicates low correlation between their viewpoints with respect to the items of research. Following the correlation coefficients calculation, the factor analysis was performed. Factor analysis is a method through which we can put persons, items and generally the variables that have more similarity to each other on related types. By calculating factor load values of the groups, it became clear that 26 persons were in the first group consisting of 13 communication sciences experts and 13 sociology experts and 24 persons were in the second group consisting of 12 communication sciences experts and 12 sociology experts. The load factor values of each group and the weight values for both groups were determined.
Comparing the viewpoints of these groups based on standard scores shows that although they disagree with the content of some items, but on the other 12 items, there are fewer disagreements.
 

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