P1SCO: Social Dimensions from a Perspectivist Lens
For researchers studying social perception and annotation disagreement, this dataset provides a resource to analyze cross-platform and individual-level variation, though it is an incremental contribution as a new dataset.
The authors introduce P1SCO, a dataset of social media comments annotated with ten social dimensions and rich annotator metadata, enabling analysis of how social perception varies across platforms, demographics, and individual differences.
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.