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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2605.25312 |
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| _version_ | 1866918520873287680 |
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| author | Curry, Amanda Cercas Morales, Gianmarco de Francisci Aiello, Luca Maria |
| author_facet | Curry, Amanda Cercas Morales, Gianmarco de Francisci Aiello, Luca Maria |
| contents | We introduce P1SCO, a dataset of social media comments collected from three distinct platforms, annotated according to ten social dimensions to capture the diversity of social interactions and perceptions. The dataset is carefully disaggregated to allow analysis at the level of individual comments, annotators, and platforms. In addition to the social dimension labels, we include rich metadata on the annotators, including demographics, Big Five personality profiles, and political affiliation. This combination of comment-level annotations and annotator-level features enables nuanced analyses of how social perception varies across platforms, individual differences, and demographic factors. By preserving the diversity of annotator perspectives, our dataset supports studies of inter- and intra-annotator agreement, the influence of personality and political orientation on social interpretation, and the cross-platform dynamics of social discourse. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_25312 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | P1SCO: Social Dimensions from a Perspectivist Lens Curry, Amanda Cercas Morales, Gianmarco de Francisci Aiello, Luca Maria Computation and Language We introduce P1SCO, a dataset of social media comments collected from three distinct platforms, annotated according to ten social dimensions to capture the diversity of social interactions and perceptions. The dataset is carefully disaggregated to allow analysis at the level of individual comments, annotators, and platforms. In addition to the social dimension labels, we include rich metadata on the annotators, including demographics, Big Five personality profiles, and political affiliation. This combination of comment-level annotations and annotator-level features enables nuanced analyses of how social perception varies across platforms, individual differences, and demographic factors. By preserving the diversity of annotator perspectives, our dataset supports studies of inter- and intra-annotator agreement, the influence of personality and political orientation on social interpretation, and the cross-platform dynamics of social discourse. |
| title | P1SCO: Social Dimensions from a Perspectivist Lens |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2605.25312 |