data

Annotation files

Article text and metadata with aggregated frame annotations

articles_metadata.tsv

• article ID
• outlet
• date of publication
• mbfc bias
• full article text
• frame annotations (5 colums)

Frame and entity annotations

role_and_frame_annoations.tsv

• article ID
• extracted entity
• entity's stakeholder category
• entity's assigned role
• mbfc bias
• frame annotations (5 colums)

Unaggregated annotations

full_annotations.json

• annotations for all 21 binary questions (paper appendix A)
• Raw annotations are given ordered by annotator ID (1-4), with -1 indicating that an annotator did not label an article.

Question to frame mappings

The subset of questions which were verified as predictive for one of the five frames, and the only ones used in this paper, are:

Conflict: CO1 CO2, CO3
Economic: EC1, EC2, EC3
Human interest: HI1, HI2, HI5
Moral: MO1, MO2
Resolution: RE1, RE5

The questions used to detect entities and narrative roles are:

Hero: RE6
Villain: RE7
Victim: HI3

Annotation instructions and codebook

The two pdf files contain the instructions given to annotators.