Chinese HIV/AIDS News Discourse Analysis from 2010 to 2024

Yuhang Li's dataset contains a large-scale corpus of news articles published between 2010 and 2024, analyzing media discourse on HIV/AIDS in China. The study employs Analysis of Topic Model Networks (ANTMN), collocation analysis, and Multiple Correspondence Analysis (MCA) to extract thematic networks, terminology, and metaphors. It identifies five major thematic communities and 48 distinct topics, revealing a discursive shift towards political narratives.

Use Cases

• Analyze thematic evolution in HIV/AIDS media coverage based on the identified five thematic communities.
• Study stigmatizing language and terminology for people living with HIV based on the 19 categories of PLHIV terminology.
• Examine conceptual metaphors in public health discourse based on the 12 categories of HIV/AIDS metaphors.
• Investigate relationships between discursive strategies and thematic contexts using the network backbone method described.

Strengths

• Covers a 14-year time range from 2010 to 2024.
• Identifies 48 distinct topics organized into five thematic communities.
• Analyzes 19 categories of terminology for people living with HIV and 12 categories of metaphors.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and media source bias inherent to the corpus.

Provenance

Source

figshare

Collection Method

Analysis of a large-scale corpus of news articles using ANTMN, collocation analysis, and MCA.

Time Range

2010 to 2024

Freshness

Last updated 2026-05-13 17:35:37; freshness should be verified.

Geography

China