Explainer · Plain-language

What Is Discourse Analysis? Methods & Examples | CASRAI

Discourse analysis is a qualitative research method that examines how language — in texts, speech, or multimodal communication — constructs meanings, identities, social relations, and power. It moves beyond what is said to analyse how and why it is said in the way it is.

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Foucauldian discourse theory

Michel Foucault’s work on discourse is foundational across the social sciences and humanities. For Foucault, a discourse is not simply a collection of texts but a system of knowledge — a set of rules that determines what can be said, thought, and done in a given historical period and social domain. Discourses produce the objects they name (for example, "madness", "sexuality", or "the criminal") and are inseparable from power: knowledge produces power, and power produces knowledge. Genealogy — tracing the historical emergence and transformation of discourses — is Foucault’s key analytical method. Foucauldian discourse analysis is widely used in education research, health studies, gender studies, and policy analysis.

Critical discourse analysis

Critical discourse analysis (CDA) makes the relationship between language, power, and ideology explicit. Norman Fairclough’s three-dimensional framework analyses text (linguistic features), discourse practice (processes of text production and consumption), and social practice (the broader social conditions). Teun van Dijk’s socio-cognitive approach examines how discourse reproduces social inequality through mental models and ideological representations. Ruth Wodak’s discourse-historical approach reconstructs discursive strategies (nomination, predication, argumentation, perspectivation, intensification) in political and institutional contexts. What unites CDA practitioners is the normative commitment: they analyse discourse to expose and critique unjust power relations, not merely to describe them.

Conversation analysis and multimodal discourse analysis

Conversation analysis (CA), associated with Harvey Sacks, Emanuel Schegloff, and Gail Jefferson, takes a different approach: it analyses the sequential organisation of talk in interaction without importing external theoretical frameworks. CA examines turn-taking mechanisms, adjacency pairs (question–answer, greeting–greeting, invitation–acceptance/refusal), repair sequences, and the management of topic transitions. It is particularly influential in studies of institutional talk — in courtrooms, medical consultations, and helpline calls. Multimodal discourse analysis extends discourse analysis to images, gestures, gaze, layout, and other semiotic modes, drawing on Gunther Kress and Theo van Leeuwen’s social semiotic framework.

Data, software and relationship to content analysis

Discourse analysts typically work with transcripts of naturally occurring talk, policy documents, media texts, organisational reports, social media, and visual or multimodal texts. Unlike content analysis, there is no automated discourse analysis tool: interpretation requires human judgement throughout. NVivo and MAXQDA support the organisation and annotation of qualitative data but do not perform DA. Jefferson notation is used to transcribe spoken interaction for CA, capturing pauses, overlaps, emphasis, and prosody. The boundary with content analysis is important: content analysis counts and categorises features of texts; discourse analysis interprets how texts construct social realities through specific linguistic and rhetorical choices.

Key facts

At a glance

Definition: Qualitative analysis of how language constructs meanings, identities and power
Key theorist: Michel Foucault — discourse as knowledge/power system
CDA pioneers: Fairclough, van Dijk, Wodak — language, ideology and social inequality
CA tradition: Sacks, Schegloff, Jefferson — sequential organisation of talk
Multimodal: Kress & van Leeuwen — extends DA to images, gesture, layout
No automation: Interpretation requires human judgement; NVivo/MAXQDA organise, not analyse
Distinguished from: Content analysis (DA interprets how language constructs reality; CA counts)

Common misconceptions

What people often get wrong

Often heard: Discourse analysis is just a detailed reading of texts.

Actually: No — DA involves systematic application of specific analytical frameworks (Foucauldian, CDA, CA) with explicit theoretical commitments and transparent procedures for how texts are selected, examined, and interpreted.

Often heard: Discourse analysis and content analysis are interchangeable.

Actually: No — content analysis systematically counts and categorises textual features; discourse analysis interprets how language use constructs social realities. They have different epistemological commitments: content analysis tends towards positivism; DA towards interpretivism or critical theory.

Often heard: Conversation analysis requires a theoretical framework.

Actually: No — CA is explicitly anti-theoretical in the conventional sense. It proceeds from the data itself, examining how participants in an interaction make sense of one another's actions sequentially, without importing prior sociological or psychological categories.

Going deeper