iNews: A multimodal dataset for modeling personalized affective responses to news
Authors: T Hu, N Collier
Published: 2025
Publication: arXiv preprint arXiv:2503.03335, 2025 - arxiv.org
The iNews dataset is a multimodal resource for studying personalized affective responses to news, improving modeling accuracy by incorporating annotator persona metadata.
Methods: 292 demographically diverse UK participants annotated 2,899 Facebook news posts with multidimensional labels (e.g., emotions, valence, arousal), combined with comprehensive participant persona data.
Key Findings: Modeled personalized affective responses to news through annotations capturing valence, arousal, emotions, and persona metadata.
Institution: University of Cambridge
Research Area: Affective Computing, Natural Language Processing,Computational Social Science
Discipline: Computational Social Science
Sample Size: 2899 participants
Citations: 2