-content and discoruse analysis

Data analysis:

·       Use all topically relevant press conferences with Green politicians from 2023

·       use all topically relevant posts from Green’s main Facebook page from 2023

·       code the data using Nvivo, specifically look for different frames, also create word clouds and perform sentiment analysis

Evaluate based on:

·       whether clearly defined corpus and clear ideas of which frames and narrative strategies I am looking for -> Makes replicable and transparent ->

most important for evaluation

Comparing the CCP’s political discourse on democracy with the West’s; Subantative democracy vs procedural democracy.etc

Method: Discourse analysis

Evaluation: not sure

Data: Propagandists - speeches from Politicians, journalists, media interviews, news reports, documentaries and films, social media posts, news programmes.

Evaluation: Reflexivity, Transparency

• Data: formal interviews and public corporate reporting/statements

• Method: discourse analysis

• Evaluation: transparency and reflexivity

content analysis

Evaluation - reflexivity and transparency

• Dates when North Korea did significant nuclear testing- viewed through media and if it was during a certain key time in western politics 

• The leaders of NATO during this time

Evaluation: transparency

trade arena.

Criteria: Is the interviewer objective? Have they established the context and have an understanding of the contextual knowledge? How has the data been collected? Which countries have missing data?

• Bias, reflexivity

Use case studies of both successful and failed post-war reconstructions, i.e. Germany, Japan, Iraq, Bosnia and Herzegovina.

Identify what helped and what made reconstruction more difficult.

Positivist

• Images from before, during and after their time in power

• Content Analysis

Evaluation:

• External Validity: can it be applied to other minority groups if I am only looking at a select few

• Reliability: Do it over and over, hoping to get the same result or someone else can try and get the same results.

Has this changed with time? Does gender influence the proportion of perspectives?

How often are women mentioned in neutral depictions of English medieval history?

This would be a post-structural analysis of perspective in gender in historical study.

Data would be pulled from historical journals, with an equal author gendered divide.

Criteria: If we can collect strong examples to illustrate the significant difference, for example, from a typical movie？

Data collection: government reports and state media coverage on women's employment before and after the three-child policy.

method: interpretivist approach

evaluation: transparency, reflexivity

Data: statements for humanitarian aid, statements on commitments to “social justice”

data：before& after beliefs

Method: Critical Discourse Analysis.

Data: Articles written by Nigel Farage in his weekly column in the Independent Newspaper in the years leading up to the Brexit vote (2013-2016).

With this data, I would construct a framework that sought to identify language constructions as belonging to the Populist-Radical-Right ideology, and then analyse their effectiveness at establishing belief as knowledge and imposing this onto the readership as fact.

Evaluation: Transparency, reflexivity, objectivity.

1. I would collect articles related to terrorist attacks in domestic newspapers. I would analyse the data by looking for instances of:

   
   

   A) support for or opposition to the negotiations

   B) support for or opposition to a retaliatory government response against the rebels

2. I would test the strength of my research design through double coding. This would ensure that the coding frame is clear and replicable.