Immigrant Stigma Data: UK Policy Documents, Interviews, and Social Media, 2022

A qualitative dataset investigates institutional roles in shaping immigrant stigma and consumer responses. It contains three data types: archival documents from government, NGOs, and media; 30 interview transcripts with UK immigrants from 2022; and social media screenshots. The dataset was authored by Carmen Mal and last updated on figshare in May 2026.

Use Cases

• Analyze institutional narratives about immigrants based on archival government and NGO reports.
• Study lived experiences and coping strategies based on transcripts from 30 immigrant interviews.
• Examine public discourse and marketplace reinforcement of stigma based on social media screenshots.
• Conduct comparative content analysis across policy documents, media articles, and interview responses.

Strengths

• Includes 30 in-depth interview transcripts providing first-hand accounts from immigrants.
• Combines three distinct qualitative data sources (archival, interview, social media) for triangulation.
• Interview data has a specific collection timeframe (2022) and geographic focus (UK).

Limitations

• Row count and file formats are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal and geographic bias inherent to the 2022 UK context.

Provenance

Source

Carmen Mal via figshare.

Collection Method

Data was collected for a specific study and includes archival research, online interviews, and social media capture.

Time Range

Interview data collected in 2022; temporal coverage of archival and social media data is unspecified.

Freshness

Last updated 2026-05-20 09:17:32; freshness should be verified.

Geography

Focus is on the United Kingdom, based on the interview participant location.