Headlines and Images on the Syrian Refugee Crisis from The Guardian and El País in 2016

ROMANO MOZO, MANUELA created a multimodal dataset for analyzing media representation of the Syrian refugee crisis. It contains 100 newspaper headlines and 100 images from 2016, sourced from The Guardian in the UK and El País in Spain. The dataset was last updated on 2025-10-14.

Use Cases

• Analyze linguistic framing strategies based on newspaper headlines mentioned in the description
• Study visual representation and bias based on the collection of 100 images mentioned in the description
• Conduct comparative media analysis based on the inclusion of sources from two European countries
• Train multimodal models for sentiment or bias detection based on paired headlines and images

Strengths

• Contains 200 total items (100 headlines and 100 images) for analysis
• Provides a comparative sample from two distinct European newspapers
• Focuses on a specific, well-defined event (the 2016 Syrian refugee crisis)

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 source bias inherent to the two selected newspapers

Provenance

Source

ROMANO MOZO, MANUELA via e-cienciaDatos Harvested Dataverse

Collection Method

Likely collected via manual or automated scraping from the online editions of The Guardian and El País.

Time Range

2016

Freshness

Last updated 2025-10-14 21:32:34; freshness should be verified

Geography

United Kingdom and Spain (source newspapers); subject concerns Syria and Europe.