iNews is a large-scale, multimodal dataset for modeling personalized emotional responses to news content. The dataset captures individual variability in affect, providing granular data for developing human-centered models. It is associated with a paper presented at ACL 2025 and was authored by pitehu.
Use Cases
- Modeling personalized emotional reactions based on multimodal news content.
- Developing human-centered AI systems based on individual affective variability.
- Analyzing the relationship between news features and subjective emotional responses.
Strengths
- Dataset is described as large-scale, suggesting substantial data volume.
- Focus on individual-level affective responses provides granularity not found in aggregated datasets.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Paper: 'iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News (ACL 2025)'.
- Freshness
- Last updated 2025-07-13 10:06:31; freshness should be verified.