Discourse Analysis In The Media

Provided that discourse analysis is subjective, and by the same token by adherence to pragmatic theories , the truth is also subjective and relative; hence, this study has employed a new approach for the analysis.
There have been many contributions to the political discourse of the media (see: Wood & Kroger, 2000); however, the subjectivity of the frameworks and also the liberty to apply less appropriate models leads to diversity and sometimes inconsistency in the results. Given all that, this study has employed a cluster of methodologies in an endeavor to present the most reliable findings.
Discourse analysis is an interdisciplinary discipline. It is also interested in the analysis of the various contexts of discourse, that is, in the cognitive

The initial posed questions were whether a linguistic approach is the best way to analyze political text in the media and which approaches tend to be the most reliable in sense of analyzing political discourse in the media. (also, see: Richardson, 2006; Reah, 2002) As a result, an independent systematic analysis was conducted, which provided the existing literature of developments from political, linguist, communitive and psychological perspectives. In addition, as a part of the systematic analysis, 50 news items on the United Kingdom’s membership in the European Union were extracted from the leading British quality press and the headlines and lead sentences were evaluated in accordance with the discussed approaches, models and frameworks based on their political grounds, if any, and the relationship between the political orientation of the newspaper owners in reflecting their favored political party’s ideology on the media had been scrutinized. That study concluded that analyzing the same text based on different approaches, models and frameworks leads to a diversity in the findings. Hence, a model for sampling, variables, measurement, and analyses were suggested, and the

All variables are categorical variables , which are qualitative data in which the values are assigned to a set of distinct groups or categories. The categorical variables often provide valuable social-oriented information that is not quantitative by nature.
In the hierarchy of measurement levels, categorical variables are associated with the two lowest variable classification orders, nominal or ordinal scales, depending on whether the variable groups exhibit an intrinsic ranking.
A nominal measurement level consists purely of categorical variables that have no ordered structure for intergroup comparison. The first group – V1 (genre), V3 (story impetus), V4 (section placement), V5 (size of article), and V6 (geopolitical frame) – which belong to the nominal level of measurement have two properties. First, the categories are mutually exclusive; that is, an object can belong to only one category. Second, the data categories have no logical order.
The topic/headline classifications (V2) were merely intended for understating of the coverage, and due to the multi-cluster sub-variables for the measurement, the results of which were illustrated in word-clouds and reported in the