UK News Coverage of Type 1 and Type 2 Diabetes from 2020 to 2024

A corpus-based discourse analysis of mainstream UK news media coverage of Type 1 and Type 2 diabetes between 2020 and 2024. The dataset, created by Sara Vilar-Lluch, examines linguistic representation, stigma, and adherence to communication guidelines. It is a 5.5 KB XLS file last updated in April 2026.

Use Cases

• Analyze trends in medical versus free will discourse around diabetes based on the description.
• Measure adoption of recommended versus dispreferred language in health reporting based on the study's focus.
• Identify patterns of omission regarding social determinants of health in news articles based on the description.
• Study potential misunderstandings from generic references to 'diabetes' based on the analysis mentioned.

Strengths

• Explicitly defined temporal coverage from 2020 to 2024.
• Clear research focus on stigma and communication guidelines as described.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Corpus-based discourse analysis of mainstream UK news media.

Time Range

2020-2024

Freshness

Last updated 2026-04-30 17:26:17; freshness should be verified.

Geography

United Kingdom