MECM90038 Chap.7 Media Texts, Case Studies and Platform Walkthroughs
Media Texts, Case Studies and Platform Walkthroughs
This chapter opens Block 2, where the project shifts from reading literature to collecting data. It starts with the Week 4 definition of a media text as any form of media representation made of one or more signs, from a logo or a song to a physical object, and explains why that breadth makes systematic research hard.
It then covers the Week 5 case study approach, with media events and policy or document inquiry as ways to bound a content analysis, and the Week 6 digital methods: the platform walkthrough, algorithmic-enabling approaches and researcher reflexivity. Throughout, the desktop-only rule decides which texts are available.
These choices feed straight into the methodology assignment, where you must justify what you collected and why.
What this chapter covers
- 01
Defining a media text as representation built from one or more signs
- 02
Seeing how changing technology reshapes what counts as a text
- 03
Using media events as bounded case studies for collecting texts
- 04
Pairing policy or document inquiry with media coverage of it
- 05
Studying interfaces with the platform walkthrough method
- 06
Recording positionality when algorithms shape what you can collect
Worked example · free
Choosing media texts for a festival case
- 1Name the case: the festival as a media event, bounded by its program dates.
- 1List publicly accessible texts: festival posts, performers’ promotional reels and online news reviews.
- 1Exclude anything requiring human research, such as audience surveys or performer interviews.
Key terms
- Media text
- A media representation of ideas, values or perspectives composed of signs. Logos, songs, posts and even objects can qualify.
- Media event
- A bounded happening, such as a festival or a campaign, used as a case for collecting texts. Its dates and actors give the data clear edges.
- Platform walkthrough
- A method that studies a platform by moving through its interface step by step. It looks at how screens and features guide what users do and expect.
- Positionality
- The researcher’s identity, behaviour and situation as they bear on a study. On platforms it affects which content appears and how it is read.
Media Texts, Case Studies and Platform Walkthroughs FAQ
What counts as a media text in media and communications research?
Far more than printed words. The Week 4 lecture includes static logos, songs, dances and even physical objects such as a ring, provided they represent ideas, messages, values or perspectives through signs. Meanings also change with technology: emoji arrived with computers and the internet, while calligraphy is now unfamiliar to many people.
Can I interview people for a case study in this subject?
The subject restricts projects to desktop research, because human research needs institutional ethical clearance that takes about three months on average. A case study here therefore draws on published or publicly accessible material, such as policy documents, industry reports, news articles, public posts, blogs and audio-visual content, rather than interviews, focus groups or surveys.
What is the difference between a platform walkthrough and an algorithmic approach?
According to the lecture plan, a walkthrough examines how a platform’s interface guides user actions and expectations, while algorithmic-enabling approaches investigate how algorithms shape the content researchers encounter, collect and analyse. Both ask you to reflect on your own positionality. The step-by-step procedures belong to the Week 6 lecture, so confirm the details on Canvas.
Why do media events work well as case studies?
A media event gives a project boundaries in time and content, which helps keep a collection of texts feasible. The Week 2 lecture already lists media events beside crises, festivals and political campaigns as environments that can scope a study, and in the Week 5 tutorials a media event serves as one kind of case for gathering texts.
Assessment move
Write your case in one sentence, naming the event or document and its dates. List every text type you plan to collect and check each against the desktop rule: published or publicly accessible, with no interviews or surveys. Note which sign types each text uses.
If your project involves a platform, decide whether your question concerns the interface, which suits a walkthrough, or the feed, which suits an algorithmic approach, and start a reflexivity log recording your account, history and browsing path. Review the Week 5 and Week 6 lecture materials on Canvas for detailed procedures before drafting your methodology.
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