This series of resources on Critical Discourse Analysis (CDA) covers a range of approaches to the critical appraisal of written and visual discourse. Beginning with a series of Explainers, we review the basics of CDA; its use in journalism and photojournalism that covers socio-environmental topics like land use and climate change; how socio-environmental (S-E) researchers may use CDA to approach big datasets and reams of policy documents; and how artificial intelligence, social networks, and social media posts provide new techniques for discerning patterns and trends in S-E discourse.
- Critical Discourse Analysis: What Is It?
- Critical Discourse Analysis: Visual Approach
- Critical Discourse Analysis: Narrative Approach
- Critical Discourse Analysis: Qualitative Content Approach
- Critical Discourse Analysis: Artificial Intelligence, Social Network, & Social Media Analysis
The four linked lessons may be used individually or in sequence. These lessons provide accessible approaches to CDA based on:
- Popular journalism from newspapers and magazines, which analyzes discourse across publication types, among distinct target audiences, and through time.
- Techniques for deconstructing images linked to S-E news stories, including the emotions, framing, and connotations of rhetorical imagery.
- Innovative ways to visualize climate datasets so that they impact the viewer and convey data in a way that is also aesthetic, emotional, and filled with urgency.
- Approaches for recognizing how rhetorical choices may support policy decisions that disenfranchise marginalized communities' traditional agricultural or land-management practices.