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Applying the theoretical framework in data analysis

In this final section o f the chapter I describe the way in which my data was structured and

analysed. Based on the theoretical framework I designed a list o f knowledge categories that

are o f interest to my research. During the fieldwork phase of the research I refined and

developed the list. Once the collected data had been transcribed or otherwise textualised, I

completed the list of knowledge categories. Each unit o f data was then coded against the

knowledge categories identified. I then analysed the data collected under each knowledge

category, thus generating the unique empirical contribution of this project to academic

knowledge.

In line with contemporary research technology and following the guidance o f the Open

University, I installed and operated a piece o f qualitative research data software called

NVivo. The purpose o f using NVivo was to optimise the way in which I handled and

analysed my collected research data. In addition to that NVivo facilitated my system o f

data analysis. I structured the knowledge categories to be applied on research data as

NVivo ‘nodes’, and distinguished them as ‘tree nodes’ and ‘free nodes’ depending on

whether they could be grouped together. I did not attempt to group the thematic categories

necessarily together, into some sort o f a systematic grid. About half o f the knowledge

categories stood alone, while the rest formed clusters. What is important is that as part of

my analysis, they all link to the theoretical framework o f this research.

Below I present the knowledge categories that emerged before, during and after the

empirical data collection. Table 1 illustrates the knowledge grid that connects my collected

Table 1

Knowledge categories (nodes) connecting empirical data to the theoretical framework.

Knowledge category (Node) Subcategories (branch nodes) Connection to theoretical fram ew ork

training and University; A primary avenue for the

education professional shaping o f the

training; professionalization discourse

learning in o f journalism. It is also how

practice; journalists’ understanding of

prevented from what is part o f their profession

training is shaped.

professional pride and How journalists self-identify

self affection; and render their work

no idea; meaningful?

freedom; This category collects the

dislike; knowledge gathered about the

limits and ways in which journalists

control; perceive and define their

honest

journalism

profession.

occupational HR and One o f the key areas to scan

aspects employment for neoliberal influences.

Table continues on the next page.

Table 1. Continued.

Knowledge categories (nodes) connecting empirical data to the theoretical framework.

Knowledge category (Node) Subcategories (branch nodes) Connection to theoretical fram ew ork

editorial opinion; Probably the most important

practice balance; knowledge category. Norms o f

sources; journalism, and the ways in

formats which they are interpreted and

techniques - applied. Various working

video, audio, formats that shape journalists’

montage; actions and work products.

show and Serious journalism vs.

entertainment; entertainment and talk show

advertisers - the formats. Types o f owners’

wall to intervention and channels used

editorial; owners, interest; scandal crime; beats for this.

Table continues on the next page.

Table 1. Continued.

Knowledge categories (nodes) connecting empirical data to the theoretical framework. Knowledge category (Node) Subcategories (branch nodes) Connection to theoretical fram ew ork political ideologies neoliberal; liberal; leftist progressive; conservative Journalists’ comments, associating or dissociating

themselves from existing

political ideologies, or what

they think these are. Are they

truly apolitical? causes o f collective social value religion; Climate change; non-smoking; sustainable living; environment; social; non-political; EU

The way in which journalists

engage with collective social

causes like climate and

environment, which require a

substantial system change,

holds part o f the answers to the

research question. But do they

engage at all? And what other

causes are more appealing to

them?

social change Journalists’ attitudes to ideas

that require system change.

collective Loss o f collective interest as a

neoliberalisation symptom.

Table continues on the next page.

Table 1. Continued.

Knowledge categories (nodes) connecting empirical data to the theoretical framework. Knowledge category (Node) Subcategories (branch nodes) Connection to theoretical fram ew ork

personal self How do journalists define

themselves as human beings

and members o f society?

personal

lifestyle

Class-determining elements or

other relevant information

about participants

materialism Personal qualities and values of

importance

consumerism Personal qualities and values of

importance

individualism Personal qualities and values of

importance

societal

democracy

An essential part o f journalists’

profession according to the

Fourth Estate Theory. But how

much o f it remains to still be

seen in practice?

Economy

market

imperative

In direct response to one of the

primary research questions. All

aspects o f the process.

Table continues on the next page.

Table 1. Continued.

Knowledge categories (nodes) connecting empirical data to the theoretical framework.

Knowledge category (Node) Subcategories (branch nodes) Connection to theoretical fram ew ork

humour Where and why does it appear?

A self-emerged category o f knowledge Persons Krassimir Guergov; Lyuba Rizova; Magy Maleeva; Milen Tsvetkov

Who are their heroes, and who

do they speak about? A list of

the persons who get mentioned

most frequently.

3.12. Conclusions.

The chapter explains how in the research design phase a set o f qualitative research methods

were identified to answer the research questions regarding journalists’ engagement with

collective issues o f social importance in the context o f neoliberalisation and marketisation

o f the profession o f journalism. Among the proposed data collection methods, participant

observation and semi-structured interviews were identified as the primary tools.

I outlined the parameters o f the empirical research field for this project, which allowed for

the collection o f rich and useful data. I concluded that the suitable venues for gathering

such data were: newsrooms, the reporting field, and the personal sphere o f journalists. All 71

these three types o f venues offer suitable observation ground for studying journalists’

engagement with ‘voice’, in Nick Couldry’s (2010) sense o f the word. Hence the project

will focus primarily on professional journalists, either employed by a mainstream media

organisation or freelancing for one or more such organisations. Apart from newsroom staff

and external regular contributors, media and editorial decision makers were included in the

project’s fieldwork component where possible. Non-professional journalists, citizen

journalists, bloggers and other writers were left out o f the target group o f this particular

research, but will be kept in mind as potential follow-up ideas emerge. Activists and social

movements around collective issues relating to environmental change will form an

essential component o f the empirical research setup due to their potential to generate

campaigns that make journalists engage with structurally important social and policy

choices.

Having established the value o f focusing this research project on the realities of post­

socialist Central and Eastern Europe (CEE), the chapter explained the choice of Bulgaria as

the context for its empirical research component. This was facilitated by the fact that

Bulgaria offers a legitimate study ground for understanding both the complexities o f the

post-socialist change in society, and the impacts o f a neoliberal discourse on them; by my

relatively better access to the necessary media decision makers, and my fluency in the

Bulgarian language. Concerns about potential methodological risks associated with the

choice o f Bulgaria were explored but also ruled out.

Based on a list o f criteria, including commitment to Western journalistic standards, type of

ownership and outreach, the selection o f two mainstream media organisations have been

selected as empirical research placements were explained: Capital weekly and BTV.

Further information regarding the structure of ownership and history o f both media

The set o f data collected during the empirical research phase o f the project in Bulgaria

included interview transcripts, field notes, published works and materials produced by

journalists participating in the study, as well as photographic images and material evidence

from the research field. Data was processed by means o f qualitative research software

NVivo alongside a grid o f knowledge categories. A description o f the categories was

provided which links them to the chief theoretical questions o f the proposed survey.

CHAPTER FOUR

Fieldwork and Data Collection Description